Build Better
Trading Systems
Learn algorithmic trading, Pine Script, broker APIs, backtesting, quantitative research, and trading automation through practical tutorials and real-world projects.
- 9
- Free calculators
- 6
- Learn tracks
- 100%
- Free to use
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- Signals sold
A platform built like developer docs, not a finance blog
Credible, technical, and honest about risk. Everything is software education and tooling — never advice, signals, or guarantees.
Tools that teach
Nine interactive calculators — position sizing, risk/reward, CAGR, drawdown, expectancy, compounding, brokerage, margin, and an option-payoff visualizer — each with its formula, worked examples, and FAQ. The math is unit-tested.
Structured learning
Documentation-style tracks you work through, not a chronological feed.
Real, tested code
Copy-ready Pine Script, Python, and Node.js — built to run, not just to read.
Pick a track and go deep
Each discipline is color-coded and built as a progressive library.
Pine Script
Indicators, strategies, and TradingView scripting from first principles.
ExplorePython for Traders
Data wrangling, research notebooks, and automation in Python.
ExploreBroker APIs
Connecting to broker REST/WebSocket APIs for order and data flow.
ExploreTradingView Automation
Alerts, webhooks, and bridging TradingView to execution layers.
ExploreBacktesting
Event-driven engines, metrics, and avoiding common pitfalls.
ExploreInfrastructure
Servers, queues, monitoring, and deployment for trading systems.
ExploreInteractive trading calculators
Each is a first-class page with the formula, examples, and FAQ.
Position Size Calculator
Size a position from account risk and stop distance.
Open toolRisk/Reward Ratio Calculator
Compare potential reward to risk and find the break-even win rate.
Open toolCAGR Calculator
Compound annual growth rate between two values over time.
Open toolExpectancy Calculator
Expected value per trade from win rate and average win/loss.
Open toolOption Payoff Calculator
Visualize the expiration payoff of a single option leg.
Open toolNotes, deep dives & updates
How to Read a Backtest Without Fooling Yourself
A skeptical, engineering-minded guide to interpreting backtests: overfitting, out-of-sample testing, costs, lookahead bias, survivorship, and reading equity curves.
ReadFrom Alert to Execution: A Decoupled Automation Architecture
A pragmatic pattern for turning TradingView alerts into validated, idempotent, observable messages — without coupling ingestion to execution.
ReadFive Backtesting Mistakes That Quietly Inflate Results
Lookahead bias, survivorship, overfitting, ignored costs, and in-sample reporting — the subtle errors that make a backtest look better than reality.
ReadStart with the fundamentals
Avoiding Lookahead Bias in Backtests
Lookahead bias quietly inflates backtest results. Learn where it sneaks in and concrete techniques to keep your simulations honest.
Read articleAnatomy of a Broker REST API
Understand authentication, core endpoints, idempotency keys, pagination, and rate-limit handling when integrating with a generic broker REST API.
Read articleContainerizing a Trading Bot with Docker
A practical guide to packaging a Python trading-data service with multi-stage Docker builds, env-based secrets, Redis, healthchecks, and small images.
Read articleGet new tutorials & tools
Occasional updates when we publish. Education only — never trading signals or recommendations.
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