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Compiled seasonal statistics for an instrument symbol: monthly average/median return, win rate, average annual return, and best/worst/most-consistent months. Same data as the /api/v1/seasonality API.

Commitments of Traders positioning for a currency or instrument code. Same data as the /api/v1/cot API (history capped at ~3 months).

The crypto Fear and Greed index (alternative.me), Bitcoin and Ethereum only, daily since 2018-02-01: the 0-100 level with its classification, the change over a week and a month, and a short reading. A sentiment and attention proxy, not an on-chain or valuation measure. The index is market wide, so BTC and ETH report the same value on a date.

Fundamentals snapshot for an equity symbol.

List the symbols and currencies supported per dataset (seasonality, cot, stocks).

Gamma exposure (GEX) profile for an options-listed symbol: per-strike call/put/total GEX and key levels (gamma flip, max gamma).

Latest Zeta regime/risk model for an asset (SPY, QQQ, DAX): regime, drift, risk and series.

ML predictions for a currency: ATR (volatility) forecast and macro model output. USD maps to DXY.

Economic calendar events, newest first. Optional currency and ISO date range.

The economic calendar since 2007 for the eight major currencies: every release with its ACTUAL, its FORECAST and the surprise between them, plus what is still to come.

Central bank policy rates (Fed, ECB, BoE, BoJ, SNB, RBA, RBNZ, BoC): the rate in force on a date with when it last changed, recent changes and the next scheduled decision.

Ranked seasonal windows (the seasonality screener candidates) for a symbol.

Run a seeded Monte Carlo simulation of a trading strategy and return summary stats (win/loss %, mean max drawdown, prop-firm phase pass rates).

List the connected user's own journal accounts (mt and mt5).

Closed trades for one of the user's mt5 accounts. profit is already net of commission and swap.

The user's open positions and pending orders across their MT5 accounts, with floating P/L REPRICED against the live feed rather than left at the last bridge sync, plus each account's balance, equity and free margin. The rows themselves (SL/TP, ticket, open time) are from the last sync; the price and the P/L are current. profit is floating and excludes swap and commission.

Summary of one of the user's mt5 accounts: trade count, win rate, net P/L and where they lose money.

List the user's own backtests in a clean public format, or fetch one with its trades by passing id. Same data as the /api/v1/backtests API. Internal engine fields are never exposed.

Append trades to one of the user's existing backtests (by id from get_backtests or create_backtest_session). Owner-scoped. Trade times are ISO-8601 or epoch ms; unknown fields are ignored. Returns the updated backtest with its full trade list.

Delete one of the user's backtests by id; its trades are removed too. Owner-scoped.

Create a new backtest session (symbol + timeframe replay with its own starting capital). contractSize defaults from the instrument's broker contract size when omitted (never assume the FX lot of 100000; that breaks index sessions).

One of the user's backtest sessions with its key stats (trades, net P&L, win rate, profit factor). Use get_backtest_trades for the trade list.

The user's backtest sessions (summary, newest first), paginated.

Closed trades for one of the user's backtest sessions.

Delete one of the user's backtest sessions by id; its trades are removed too.

Full analytics overview for one of the user's backtest sessions: expectancy, win rate, profit factor, drawdown, average R/R and discipline flags (revenge trading, size creep, overtrading). Computed by the same engine as the app's Overview tab.

List the user's forward-testing accounts (demo accounts traded against live data), or fetch one with its full trade list by passing id. Stats cover the closed trades (net P&L, win rate, profit factor, balance) and the live state: floating P&L, equity, used margin, and how many trades are open or pending. Same data as the /api/v1/forward/accounts API.

The trades on one of the user's forward-testing accounts, newest first, each with the current floating P&L, live price and used margin of the position. One call answers 'how are my positions doing'; no per-trade lookup is needed for that. Owner-scoped.

Everything about one forward trade: its live valuation, the scale-out ladder, the break-even trigger, the notes and confluences, and the audit trail of what the server did to it and why. get_forward_trades already carries the floating P&L of every position, so this is for the detail and the audit trail.

Place an order on one of the user's active forward-testing accounts. This moves a real position on that demo account. A market order fills at the last completed 1-minute close, the same series the server settles against, so no price is sent for one; a limit order rests at the given price until the server fills it. Stops, targets and stop-outs are then handled server-side every minute.

Change the risk levels or annotations on one of the user's forward trades. Only stopLoss, takeProfit, takeProfitLadder, breakEvenTrigger, notes and confluences can be changed; size, entry, exit, P&L and status are decided server-side and are never editable.

Close one of the user's open forward trades at market, or cancel it when it is still an unfilled order. The exit price comes from the last completed 1-minute close and the realized P&L is recomputed server-side, so no price is accepted.

Connect an MT5 account to the user's journal so its trades sync. Credentials are only used to start the sync and are never returned.

Attach a screenshot to a specific trade in the user's journal. Provide the image as base64.

Add a manual trade to one of your custom journal accounts (only custom accounts accept manual trades).

Remove a manual trade (by its id) from one of your custom journal accounts.