The honest answer to how much does a Pine Script developer cost in 2026 is: anywhere from $50 to $15,000+, depending entirely on what you're actually buying. That range looks useless until you understand what moves the number — so this guide breaks down real, hedged USD pricing for the work I do every day (Pine Script indicators and strategies, TradingView-to-MT5 conversions, webhook bridges, and full Python execution servers) and explains exactly why two developers will quote the same listing at $20 and $500.
I've built TradingView Pine and MetaTrader EAs since 2017, with 30+ published public scripts. I'm giving you the same framing I'd give a client on a discovery call — not marketing-department numbers, and not the inflated "premium agency" rates either. The goal is that you walk away able to scope your own project well enough to get an accurate quote instead of a guess.
2026 pricing table: what trading-automation work actually costs
These are realistic global ranges for a vetted independent specialist working directly with you (no agency markup). Treat the low end as "simple, well-specified, single platform" and the high end as "complex logic, multiple instruments, live money, ongoing support."
| Deliverable | Typical 2026 range (USD) | What pushes it to the high end |
|---|---|---|
| Simple indicator or alert (single condition) | $50 – $150 | Multi-timeframe logic, alert payload formatting |
| Full custom indicator | $150 – $500 | Non-repainting requirement, screener, dashboard table |
| Custom Pine strategy (backtest-ready) | $200 – $600 | Complex entries/exits, risk model, parameter sets |
| Pine → MT5 / MT4 EA conversion | $200 – $750+ | Exact-logic parity, money management, prop-firm rules |
| TradingView → broker/exchange webhook bridge | $300 – $1,500+ | Multi-account, error handling, position sync, hosting |
| Full Python execution server / automation | $1,000 – $5,000+ | Reconnection logic, logging, multiple venues, monitoring |
| Hourly — budget freelancer (high risk) | $10 – $25/hr | — |
| Hourly — vetted specialist | $60 – $150/hr | Live-money reliability, source code, accountability |
Notice the overlap and the wide bands. That's deliberate and honest — anyone who quotes you a precise figure before understanding your logic is either padding for safety or about to under-deliver. The number only tightens once the work is scoped. You can see indicative figures for my own work on the pricing page, but every real quote starts from your actual spec.
The "$20 vs $200 for the same gig" gap explained
This is the question that confuses most buyers, so let me be blunt about what you're really paying for at the higher number. On the surface, two listings say "convert my strategy to an alert" or "build me this indicator." Underneath, they are not the same product.
The $20 version typically gives you code that compiles and looks right on the chart in historical bars. The $200+ version gives you code that behaves correctly in real time, with money on the line. The gap is made of these specific things:
- Non-repainting. The single most common defect in cheap Pine work. A repainting script shows beautiful signals on history that move or vanish once the live bar closes. It looks like alpha; it's an artifact. Building genuinely non-repainting logic (correct use of
request.security, confirmed-bar gating, no lookahead) takes real care, and most budget gigs skip it because you can't see the problem in a 30-second demo. - Exact logic parity. When converting between platforms, "close enough" isn't a deliverable. A cheap conversion approximates your entry; a proper one reproduces it candle-for-candle and proves it with a side-by-side comparison.
- Source code you own. Many low-end sellers hand over an invite-only compiled script or obfuscated code so you have to come back to them. I deliver commented source code the client owns, with an NDA on request.
- Support after delivery. TradingView changes Pine versions, brokers change APIs, prop firms change rules. The cheap price has zero post-delivery budget baked in.
- Reliability with real money. Error handling, reconnection, partial-fill behavior, and duplicate-order protection are invisible until the one night they save your account.
This is why the cheapest quote is usually the most expensive outcome. The typical path is: pay $20, get a repainting script, trade it live, lose more than $20 on a single bad signal, then pay a second developer $250 to rebuild it properly. You didn't save $230 — you spent $270 and some real losses to learn what non-repainting means. I rewrite a lot of $20 scripts; that's a real part of my audit-and-repair workload.
What specifically drives a trading-bot project's price
If you want to predict your own quote, these are the cost levers — roughly in order of impact:
1. Logic complexity
A single moving-average cross is cheap. A system with regime filters, session windows, multi-timeframe confirmation, dynamic position sizing, and partial exits is not. Each conditional branch is something that has to be specified, built, and tested.
2. Platform count and conversion
One platform is one build. "TradingView for signals, MT5 for execution" is two codebases plus the bridge between them. Cross-platform parity work (Pine has no real arrays-of-structs, MQL5 has no request.security equivalent) is where conversion budgets grow — see my dedicated breakdown on converting a TradingView strategy to MT5.
3. Live execution vs. alerts-only
An alert that fires a message is one thing. Code that places, modifies, and closes real orders against MT5, cTrader, Binance, Bybit, OANDA, or Interactive Brokers — and recovers cleanly when the connection drops mid-trade — is a different engineering tier. This is the jump from a few hundred dollars to a few thousand.
4. Risk and compliance constraints
Prop-firm work carries hard rules: daily loss limits, max drawdown, consistency rules, news lockouts. Encoding those correctly so the EA cannot breach them is meaningful work and a real liability if done wrong. That's a specialized track — I cover it on the prop-firm EA development page, and the honest framing matters: I build compliant risk architecture, not a guarantee that you pass.
5. Hosting, monitoring, and support
A webhook bridge or Python server has to run 24/7 somewhere, with logging and alerting when it fails. If that's in scope, it's an ongoing cost, which is exactly where a retainer beats a one-off fee.
Fixed price vs. hourly vs. retainer — which to choose
The pricing model matters as much as the rate. Here's how I actually recommend choosing:
| Model | Best for | Watch out for |
|---|---|---|
| Fixed price | Well-defined, single deliverables (an indicator, one conversion) with a clear spec | Scope creep — every change is a new line item; needs a tight spec up front |
| Hourly | Exploratory work, debugging, "we'll know it when we see it" research | Open-ended cost; only safe with a developer you trust to be efficient |
| Retainer | Live systems needing ongoing tweaks, monitoring, and platform-change maintenance | Paying for capacity you may not use in a quiet month |
For most first-time clients I recommend fixed-price, milestone-based payment: we agree the spec, split it into stages, and you pay as each verifiable stage lands. You're never exposed for the full amount on unproven work, and I'm never building blind. Once a system is live and you're iterating, a monthly retainer is usually cheaper and faster than re-quoting every change.
How to scope so you get an accurate quote
The single biggest thing you can do to control cost is write a clear brief. A vague request gets a padded quote because the developer has to price the uncertainty. Give me these and the number tightens immediately:
- The exact logic — entries, exits, filters, in plain English or a screenshot of the chart with annotations. If you have an existing Pine script, send the source.
- Platforms — where signals come from and where orders execute (e.g., "TradingView alerts → MT5 on FundedNext").
- Instruments and timeframes — forex pairs, indices, futures, or crypto, and the chart timeframe.
- Repainting tolerance — non-repainting is almost always the right answer; say so explicitly.
- Live or backtest-only — this is the biggest single cost fork.
- Risk rules — especially any prop-firm limits the system must respect.
A useful sanity check on scope: latency reality. If your plan depends on TradingView webhooks firing into a broker, know that realistic end-to-end latency is roughly 25–45 seconds, not milliseconds. That's fine for swing and most intraday systems and a dealbreaker for true scalping. Scoping around that truth up front saves you from paying to build something that can't physically work — I go deep on it in the broker-bridge material.
Is it cheaper to just use AI?
Tempting, and sometimes partly true — but read this honestly first. ChatGPT and Claude are genuinely useful for boilerplate and for explaining errors. The trap is that AI-generated Pine and MQL code compiles and looks correct while silently repainting, using lookahead bias, or implementing subtly wrong logic. It passes the eye test and fails the money test. I wrote a full breakdown of where the line is in can AI build your trading strategy — the short version is that AI is a competent junior who never tells you when it's wrong, and in a YMYL domain like live trading, "looks right" is exactly the failure mode that costs you. Use AI to learn; pay a human when real capital is exposed.
What you're really paying for
When you hire for trading automation, you're not buying lines of code — you're buying the confidence that the system does exactly what you specified, in real time, with your money, and that someone competent owns the result when a platform changes underneath it. The $20 listing prices the keystrokes. The $300 quote prices the correctness, the source code you keep, the non-repainting guarantee, and the person who answers when it breaks. Decide which one you actually need based on whether real capital is on the line — and if it is, scope the work tightly, pay in milestones, and treat the cheapest bid as the warning sign it usually is. When you're ready to turn a vague idea into a real number, the fastest path is a clear brief and a direct conversation with the developer who'll actually write the code.
Send me your logic, platforms, and whether it's going live — I'll scope it and give you an honest fixed-price quote with milestone payments. You work directly with the developer who writes the code.
FAQ
How much does a Pine Script developer charge per hour in 2026?
Budget freelancers list at $10–$25/hr, but that tier is where you find repainting code and approximated logic. Vetted specialists who deliver non-repainting, source-owned, live-money-reliable work typically charge $60–$150/hr. Most well-defined projects are better done fixed-price than hourly anyway, so the spec is what really sets the cost.
How much does it cost to convert a TradingView strategy to MT5?
A realistic 2026 range is $200–$750+, depending on logic complexity and whether you need exact candle-for-candle parity, money management, and prop-firm risk rules baked in. A simple cross-over converts at the low end; a multi-condition system with dynamic sizing sits higher. The price climbs mainly because Pine and MQL5 have different capabilities, so parity is real engineering, not a copy-paste.
Why are some Pine Script gigs $20 and others $500?
Because they aren't the same product. The $20 version usually compiles and looks right on historical bars; the $500 version is genuinely non-repainting, reproduces your exact logic, hands you commented source code you own, and comes with post-delivery support. The gap is correctness and reliability with real money — invisible in a demo, decisive when you trade it live.
Is it cheaper to use AI than to hire a developer?
For learning and boilerplate, yes. For live trading, often no — AI-generated Pine and MQL code frequently compiles and looks correct while silently repainting or implementing wrong logic, which is the exact failure mode that costs you on real trades. Use AI to draft and understand; pay a human to verify and own the result when capital is exposed.
Fixed price or hourly — which is better for a trading bot?
For a well-specified deliverable like an indicator or a conversion, fixed-price with milestone payments is safest — you pay per verifiable stage and avoid open-ended cost. Hourly fits exploratory work and debugging where the scope genuinely isn't knowable up front. Once a system is live and you're iterating, a monthly retainer usually beats re-quoting every change.
What makes a trading-bot project more expensive?
Logic complexity, the number of platforms, and whether it executes live orders rather than just firing alerts are the biggest drivers. Prop-firm compliance rules, 24/7 hosting with monitoring, and ongoing support add further cost. A single-platform, alerts-only indicator is cheap; a multi-venue Python execution server with reconnection logic and risk enforcement is not.