Product guide

What SoloTrade is, who it is for, and what every tool on the site actually does.

What SoloTrade is

SoloTrade.io is a zero-code trading strategy platform. It has four jobs: work out the numbers behind a trade with standalone calculators; take a set of trading rules and replay it against real historical prices; test whether a strategy survives data you have never seen; and explain the underlying concepts in plain language.

Everything runs in the browser, against market data that we synchronize, validate and store ourselves — so the same strategy and the same window produce the same result every time you run them.

Who it is for

New traders who have read about moving averages and stops, and want to see what those ideas actually do to an account over hundreds of trades.
Self-directed traders who keep a ruleset in their head and have never measured its drawdown, win rate or cost drag.
Traders moving from one market to another — equities to crypto, or spot to leveraged products — who need the mechanics (funding, liquidation, margin) made concrete.
Anyone learning the vocabulary: expectancy, profit factor, risk of ruin, value at risk, Kelly sizing.
It is not aimed at firms needing execution, order routing or portfolio-level multi-asset management.

When people use it

Before committing a ruleset to real capital: describe it, backtest it, then check it against unseen data in the training ground.
Before sizing a trade: run the position size, stop and break-even calculators so the risk is decided in advance rather than during the move.
After a losing stretch: check whether the drawdown is inside the range this strategy has always shown, or outside it.
When comparing approaches: backtest both over the same window and cost assumptions, and compare against simply holding the instrument.
When learning: read a glossary entry, then immediately try the matching calculator or rule so the concept attaches to something concrete.

The three main workspaces

Backtesting studio

Build a strategy from rules — indicators, price levels, P&L thresholds, account-level risk — then replay it bar by bar against stored history with commissions and slippage applied. Results include total and annual return, drawdown, win rate, profit factor, expectancy, average holding time, the longest losing run, and the same-period buy-and-hold comparison so a result can be judged against simply holding the instrument.

Available on stocks and ETFs and crypto. Daily bars are available on every plan; intraday intervals depend on the plan.

Training ground

The anti-overfitting workspace. You get a slice of real history with the instrument hidden and the final portion removed: build your rules on the part you can see, then the platform validates them blind on the part you could not. The gap between the two is the honest measure of whether the edge is real or fitted to the past.

Your results are compared against the median of your own previous sessions, so progress is measured against yourself rather than against a leaderboard.

Learning center and market pages

Structured reading on trading fundamentals, a glossary of the terms the tools use, daily market summaries, and a financial news feed. Definitions link straight to the calculator or rule that applies them, so a concept and its implementation stay connected.

Browse the learning center, the glossary, or today's market overview.

The 31 calculators, and what each one answers

These are standalone tools — no account required, nothing saved. Each one answers a single question you would otherwise work out by hand. All of them are listed at /calculators.

General

Universal trading maths — position sizing, risk, performance measurement and price levels. These work the same way whatever you trade.

Position Size: How many shares to buy so that being stopped out costs a fixed share of the account.
Stop Loss & Take Profit: Where to place a stop and a target from an entry price and a chosen distance.
Risk to Reward Ratio: Whether a trade is worth taking, given the distance to the stop and the target.
Profit / Loss: Net profit or loss on a position after entry, exit and fees.
Win Rate: The share of trades that must win to break even at a given payoff ratio.
Profit Factor: Gross profit divided by gross loss — a quick read on whether an edge exists at all.
Trade Return: Percentage return on a single trade, including costs.
Equity Curve: Turn a list of trade results into an equity curve you can inspect for shape and stalled periods.
Drawdown: The fall from a peak in equity, in money and in percent.
Risk of Ruin: The probability of losing a defined share of capital, given win rate, payoff and position size.
CAGR: The compound annual growth rate implied by a start and end value over a period.
Compound: How a balance grows when returns are reinvested, with optional regular contributions.
DCA Calculator: What periodic fixed contributions would have produced over a period of prices.
VWAP: Volume-weighted average price, the reference institutions are often measured against.
Fibonacci: Retracement levels derived from a swing high and low.
Pivot Point: Support and resistance levels derived from the previous period's high, low and close.
Monte Carlo Simulation: Reshuffle your own historical trades thousands of times to see the range of outcomes they could have produced.
Value at Risk (VaR): Value at Risk — the loss threshold at a chosen confidence level.
Volatility: Annualised volatility from a series of returns.
Market Hours: Opening and closing times across exchanges, converted into your own timezone with daylight saving applied.
Break-Even Price: The price at which a position stops losing money, once fees and commissions are included.
Drawdown Recovery: The gain required to recover from a loss — the reason a 50% drawdown needs a 100% rebound.
Kelly Criterion: Position size implied by the Kelly criterion, from your win rate and payoff ratio.
Sharpe Ratio: Return per unit of risk, using a risk-free rate you supply.

US Stocks

Tools tied to United States listed markets, including the corporate events that move individual stocks.

Market Calendar: Upcoming earnings, dividend and split dates for a list of symbols.

Hong Kong Stocks

Cost modeling for Hong Kong listed shares, where stamp duty and levies change the answer materially.

HK Trading Fees: Total Hong Kong trading costs including brokerage, stamp duty, trading fee and levies.

Cryptocurrency

Leverage and perpetual-contract mechanics, where funding and liquidation dominate the economics.

Liquidation Price: The price at which a leveraged position is force-closed, by exchange and margin mode.
Funding Rate: What a perpetual futures position costs or earns when funding is applied over time.

Forex

Margin, carry and contract-size maths for currency pairs.

Margin: Margin required to open a position at a given leverage, and the free margin left.
Swap: Overnight interest, credited or charged, on a held currency position.
Pip Value: What one pip is worth for a given pair, lot size and account currency.

The data behind the results

Price history is synchronized from external market data providers on a schedule, then stored locally in our own files. Backtests read those files, so a run is reproducible rather than dependent on a live feed.
Stored files are validated before use: missing or empty files, non-numeric or impossible prices, duplicated or out-of-order timestamps and daily gaps are all detected rather than silently tolerated.
Simulations include commission, minimum commission per trade and slippage, so results are net of realistic costs rather than gross.
Every result is reported alongside the same-period buy-and-hold return, so you can see whether the rules added anything over simply holding the instrument.
The AI strategy review reads your own rules and your own results and comments on parameter choices and logic gaps. It is restricted to changes inside your parameter space, and its output is filtered for anything that reads like a buy or sell recommendation.

What SoloTrade is not

It is not a broker and cannot place orders. It is not an investment adviser and does not recommend instruments. It does not forecast prices, and a backtest is not a prediction — a result describes what a ruleset did on data that has already happened. Simulation cannot capture order routing, liquidity, borrow availability or taxes, and it will not capture how you behave in a drawdown. See the full disclaimer for the detail.

Ready to start? Try the backtesting studio or the training ground, or see what each plan unlocks.