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49–72 of 382 APIs

SuperTrend & Trend-Following API

Live trend-following indicators that traders run to ride a trend and time its turn, computed on demand from the OHLC candles you pass in — no key, no cache, nothing stored. The supertrend endpoint returns the SuperTrend line, the ATR-banded trailing level that sits below price in an uptrend (acting as support) and above it in a downtrend (acting as resistance) and flips when a close crosses it, with the current trend. The aroon endpoint returns Aroon Up, Aroon Down and the Aroon Oscillator, which measure how recently the highest high and lowest low were made — a reading of 100 means it just happened — to tell you how fresh and strong the trend is. The vortex endpoint returns the Vortex Indicator's VI+ and VI- lines, whose crossover is a classic trend-change signal. These are trend-following indicators, deliberately distinct from the ADX, Parabolic SAR and Donchian set and from momentum, volatility and volume tools: they each use the high, low and close to follow a trend and flag its reversal with their own formula. Works for any market — forex, stocks, crypto or commodities — because you supply the candles. Computed locally and deterministically, so it is instant and private. Ideal for trend-following bots, signal dashboards and back-tests. SuperTrend defaults to period 10 multiplier 3; Aroon to 25; Vortex to 14. Live, nothing stored. 3 compute endpoints. For ADX/Parabolic-SAR/Donchian use a trend-indicators API; for RSI/MACD use a technical-indicators API.

#supertrend #aroon #vortex
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Uptime
100.0%
Latency
109ms
Subs
3,337
Server verified 12 probes/24h

api.oanor.com/supertrend-api

Volume Indicators API

Live volume-based technical indicators that traders run to confirm a move with the volume behind it, computed on demand from the OHLCV candles you pass in — no key, no cache, nothing stored. The mfi endpoint returns the Money Flow Index, a volume-weighted version of RSI that swings from 0 to 100, with an overbought reading above 80 and oversold below 20. The obv endpoint returns On-Balance Volume, the running total that adds a candle's volume on an up close and subtracts it on a down close, together with whether it is rising or falling — rising OBV confirms buying pressure. The cmf endpoint returns the Chaikin Money Flow, which sums money-flow volume over the lookback to show whether buyers or sellers are in control. These indicators all need the volume of each candle, which makes them a fundamentally different tool from price-only indicators like RSI, MACD, Stochastic and ADX: they answer whether volume is confirming the price move or diverging from it. Works for any market — forex, stocks, crypto or commodities — because you supply the candles with volume. Computed locally and deterministically, so it is instant and private. Ideal for trading bots, divergence screeners, breakout confirmation and trading dashboards. Candles are open:high:low:close:volume. Live, nothing stored. 3 compute endpoints. For price-only indicators use a technical-indicators, oscillators or trend-indicators API.

#mfi #obv #chaikin-money-flow
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Uptime
93.8%
Latency
427ms
Subs
4,798
Degraded 16 probes/24h

api.oanor.com/volumeindicators-api

Trend Indicators API

Live trend and direction indicators that traders run to gauge whether a market is trending and which way, computed on demand from the OHLC candles you pass in — no key, no cache, nothing stored. The adx endpoint returns the ADX (Average Directional Index) with the +DI and -DI lines using Wilder's method, so you get both the strength of a trend (a reading above 25 signals a real trend) and its direction. The psar endpoint returns the Parabolic SAR — the trailing stop-and-reverse level that sits below price in an uptrend and above it in a downtrend, and flips when price crosses it — together with the current trend. The donchian endpoint returns the Donchian Channel: the highest high and lowest low over the lookback with the midline, and whether the last close has broken out of the channel. These indicators all need the full high, low and close, and they answer a different question than momentum oscillators, closes-only indicators or volatility tools: is there a trend, and which way is it going. Works for any market — forex, stocks, crypto or commodities. Computed locally and deterministically, so it is instant and private. Ideal for trend-following bots, breakout screeners, trailing-stop logic and trading dashboards. ADX needs 2 x period + 1 candles. Live, nothing stored. 3 compute endpoints. For RSI/MACD use a technical-indicators API; for Stochastic/CCI use an oscillators API.

#adx #parabolic-sar #donchian
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Uptime
100.0%
Latency
178ms
Subs
4,094
Server verified 12 probes/24h

api.oanor.com/trendindicators-api

Trade Setup & R:R Planner API

Live trade-planning analytics built on the geometry of a setup, the numbers a trader checks before pulling the trigger, computed on demand from the entry, stop and target you pass in — no key, no cache, nothing stored. The plan endpoint turns an entry, stop-loss and target into the risk and reward per unit, the reward-to-risk ratio and the break-even win rate — the minimum win rate that makes the trade profitable — and, if you supply an account size and a risk percent, the position size, risk amount and reward amount. The targets endpoint projects target prices at chosen R-multiples of the stop distance, so you can ladder out at 1R, 2R and 3R. The expectancy endpoint turns a reward-to-risk ratio and a win rate into the expected value per trade in R and the profit factor, telling you whether an edge is positive. This is a trade-geometry planner, fundamentally different from account-based position sizers, forward Monte-Carlo simulators and backward trade-journal analyzers: it reasons from the entry, stop and target. Works for any market — forex, stocks, crypto or futures — and for long or short. Computed locally and deterministically, so it is instant and private. Ideal for trade journals, risk checklists, broker tools and trading dashboards. Live, nothing stored. 3 compute endpoints. For Kelly position sizing use a trading-risk API; for a full outcome distribution use a strategy simulator.

#trade-setup #risk-reward #expectancy
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Uptime
100.0%
Latency
87ms
Subs
4,232
Server verified 12 probes/24h

api.oanor.com/tradesetup-api

Risk of Ruin API

Live risk-of-ruin and drawdown-survival analytics that traders run to size risk so a losing streak cannot wipe them out, computed on demand from the edge you pass in — no key, no cache, nothing stored. The ruin endpoint returns the probability of ever losing your capital given a win rate, a reward-to-risk payoff and the risk taken per trade, solved analytically from the gambler's-ruin equation rather than simulated — it also reports the expectancy in R, the capital units at risk and the single-unit ruin root behind the answer. The drawdown endpoint returns the probability of ever hitting each of several drawdown levels and the gain needed to recover from them. The recovery endpoint returns the loss-and-gain asymmetry — the percent gain required to climb back from any drawdown, the reason a 50 percent loss needs a 100 percent gain — and, if you pass net profit and max drawdown, the recovery factor. This is an analytic risk engine, fundamentally different from Monte-Carlo simulators and price-series drawdown feeds: it turns a win rate, payoff and risk fraction into the closed-form math of survival, instantly. Win rate accepts a fraction or a percentage; payoff is reward-to-risk; negative expectancy makes ruin certain. Computed locally and deterministically, so it is instant and private. Ideal for position sizing, money-management rules, prop-firm risk limits and trading dashboards. Live, nothing stored. 3 compute endpoints. For a full Monte-Carlo outcome distribution use a strategy-simulator API.

#risk-of-ruin #drawdown #money-management
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Uptime
100.0%
Latency
96ms
Subs
3,691
Server verified 12 probes/24h

api.oanor.com/riskofruin-api

Trade Stats API

Live trading-performance analytics that traders run on a list of realised trade results, computed on demand from the profit-and-loss series you pass in — no key, no cache, nothing stored. The analyze endpoint returns the full performance scorecard: number of wins and losses, win rate, gross profit and loss, profit factor, expectancy, average win and loss, payoff ratio, and the largest win and loss — the numbers a trader pulls from a trade journal to judge a strategy. The equity endpoint builds the equity curve from a starting balance and returns the running balance after every trade, the peak, the maximum drawdown in money and percent, and the total return. The streaks endpoint returns the longest winning and losing runs and the current streak. This is a backward-looking trade-journal analyzer — it scores actual results, which is fundamentally different from forward Monte-Carlo simulators and position sizers that work from assumptions. Each value you pass is one closed trade's profit (positive) or loss (negative). Works for any market or strategy — stocks, forex, crypto or futures. Computed locally and deterministically, so it is instant and private. Ideal for trade journals, strategy dashboards, back-test scorecards and broker reports. Live, nothing stored. 3 compute endpoints. For forward simulation of an edge use a strategy-simulator API; for position sizing use a trading-risk API.

#trading #performance #profit-factor
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Uptime
100.0%
Latency
86ms
Subs
3,566
Server verified 12 probes/24h

api.oanor.com/tradestats-api

FX Carry Trade API

Live carry-trade and rollover analytics that FX traders run before borrowing a low-yield currency to buy a high-yield one, computed on demand from the interest rates you pass in — no key, no cache, nothing stored. The carry endpoint returns the interest-rate differential, the carry income over a holding period, the financing-adjusted yield and the leveraged return on margin, so you see exactly what a position earns. The rollover endpoint returns the daily, weekly and monthly swap — positive when you receive carry, negative when you pay it — the number a broker debits or credits each night. The breakeven endpoint returns how far the spot rate can move against the position before the carry is wiped out: the cushion the carry buys you, and the break-even spot level. This is an interest-rate and carry engine, distinct from pip and lot calculators and price tools: it turns two yields, leverage and time into the income and the risk cushion of a carry trade. The carry trade is one of the most-used FX strategies (think funding in yen to hold a higher-yielding currency), and these are the numbers behind it. Computed locally and deterministically, so it is instant and private. Ideal for FX dashboards, strategy back-tests, position sizers and trading tools. Rates are annual percentages (5.5 = 5.5%). Live, nothing stored. 3 compute endpoints. For live policy rates feed them in from a central-bank or rates API.

#forex #carry-trade #rollover
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Uptime
100.0%
Latency
102ms
Subs
4,590
Server verified 12 probes/24h

api.oanor.com/carrytrade-api

Portfolio Optimizer API

Live mean-variance (Markowitz) portfolio optimisation that quants and allocators run across a basket of assets, computed on demand from the price series you pass in — no key, no cache, nothing stored. The optimize endpoint returns the two cornerstone portfolios: the minimum-variance portfolio and the maximum-Sharpe (tangency) portfolio, each with its optimal weights, expected return, volatility and Sharpe ratio. The frontier endpoint traces the efficient frontier — a set of optimal risk/return points and the weights that achieve them — so you can plot the whole risk/return curve. The stats endpoint returns the per-asset annualised return and volatility plus the full correlation and covariance matrices, the raw material behind the optimisation. It exploits diversification: by combining assets with low or negative correlation the optimiser finds a portfolio whose volatility is lower than any single holding. Works for any basket — stocks, funds, ETFs, crypto, FX or commodities. This is a multi-asset allocation engine, fundamentally different from single-asset risk and CAPM tools: it answers how to weight several assets together, not how one behaves. Weights can be negative, representing a short leg, as in classic unconstrained Markowitz. Computed locally and deterministically, so it is instant and private. Ideal for robo-advisors, portfolio dashboards, asset-allocation research and back-tests. Rates are fractions (0.02 = 2%). Live, nothing stored. 3 compute endpoints. For single-asset Sharpe/drawdown use a risk-metrics API; for beta use a CAPM API.

#portfolio #markowitz #optimization
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Uptime
100.0%
Latency
96ms
Subs
4,857
Server verified 12 probes/24h

api.oanor.com/portfoliooptimizer-api