#signals

Which markets are breaking out of their volatility-adjusted trend channel, computed live from Yahoo Finance (no key, nothing stored). Keltner Channels wrap a 20-day exponential average in bands set at two Average-True-Ranges above and below it — and unlike Bollinger Bands, whose width is statistical standard deviation, Keltner's width is the market's actual trading range. A close above the upper Keltner band is a trend-following breakout (riding strength), below the lower a breakdown, and price hugging a band signals a powerful, persistent trend. For a cross-asset, cross-sector universe — equity indices and sectors, gold, oil, commodities, bonds and crypto — this computes each asset's Keltner upper, middle and lower bands, where price sits inside the channel, and flags fresh breakouts. The screener endpoint returns the upside and downside Keltner breakouts across the board. The asset endpoint returns one market's Keltner card. The universe endpoint lists what is covered. The cross-asset Keltner-channel / volatility-trend screener cut — distinct from the Bollinger-Bands screener (standard-deviation width, mean-reversion), the bring-your-own-candle ATR API and the other indicator screeners.

api.oanor.com/keltner-api

Which markets are stretched to an overbought or oversold extreme on the Commodity Channel Index, computed live from Yahoo Finance (no key, nothing stored). The CCI measures how far price has run from its statistical average relative to normal volatility: above +100 a market is in a strong up-move (and, when it unwinds, overbought), below -100 a strong down-move (or oversold), and the swing through zero frames trend and reversal trades. For a cross-asset, cross-sector universe — equity indices and sectors, gold, oil, commodities, bonds and crypto — this computes each asset's 20-period CCI from its typical price (high+low+close over three) and tags it overbought, bullish, bearish or oversold, then ranks the whole board. The screener endpoint returns the overbought (>+100) and oversold (<-100) markets right now. The asset endpoint returns one market's CCI card. The universe endpoint lists what is covered. The cross-asset CCI / extension screener cut — distinct from the bring-your-own-candle oscillator API, the RSI screener (a different oscillator), the OBV/volume and Bollinger screeners. It finds the over-extended markets across every asset class at once.

api.oanor.com/cci-api

Which markets are under accumulation or distribution and where volume is surging, computed live from Yahoo Finance (no key, nothing stored). Price tells you what is happening; volume tells you whether to believe it. On-Balance Volume adds the day's volume when a market closes up and subtracts it when it closes down, so a rising OBV means buyers are in control (accumulation) and a falling OBV means sellers are (distribution) — and a divergence between OBV and price is an early warning of a turn. A volume surge — today's volume well above its recent average — flags conviction behind a move. For a cross-asset, cross-sector universe — equity indices and sectors, gold, oil, commodities, bonds and crypto — this computes each asset's OBV trend over the last month, its latest volume versus the 20-day average, and tags it accumulation, distribution or neutral. The screener endpoint returns the markets under accumulation and distribution and the ones with a volume surge. The asset endpoint returns one market's OBV/volume card. The universe endpoint lists what is covered. The cross-asset volume / OBV screener cut — distinct from the bring-your-own-candle volume-indicator API and the crypto volume-profile API; it adds the volume dimension the price-only screeners miss.

api.oanor.com/obv-api

Whether each market is trending the same way across every timeframe, computed live from Yahoo Finance (no key, nothing stored). A single week's move is noise; what trend traders want is alignment — when the 1-week, 1-month, 3-month, 6-month and 1-year returns all point the same direction, that is a strong, coherent trend, and when they disagree the move is choppy or turning. For a cross-asset, cross-sector universe — equity indices and sectors, gold, oil, commodities, bonds and crypto — this measures each asset's return over those five horizons, the up/down direction of each, and an alignment score from -5 (every timeframe down) to +5 (every timeframe up), with a coherence label. The screener endpoint returns the fully aligned uptrends and downtrends across the board, ranked by alignment. The asset endpoint returns one market's multi-timeframe momentum card. The universe endpoint lists what is covered. The cross-asset multi-timeframe momentum / alignment cut — distinct from the crypto-only multi-timeframe API, the commodity-momentum ranking and the relative-strength APIs. It finds the coherent trends across every asset class at once.

api.oanor.com/multiassetmomentum-api

Which markets are strongly trending and which are stuck going nowhere, computed live from Yahoo Finance (no key, nothing stored). The Average Directional Index is the definitive measure of trend STRENGTH (not direction): above 25 a market has a real trend worth riding, below 20 it is choppy and range-bound where trend systems get whipsawed. The companion +DI and -DI lines give the direction — +DI over -DI is an uptrend, the reverse a downtrend. For a cross-asset, cross-sector universe — equity indices and sectors, gold, oil, commodities, bonds and crypto — this computes each asset's 14-day ADX, +DI and -DI (Wilder's method), and classifies it as a strong uptrend, strong downtrend, developing trend or ranging. The screener endpoint returns the strong uptrends and downtrends across the board, ranked by ADX, plus the ranging list. The asset endpoint returns one market's directional-movement card. The universe endpoint lists what is covered. The cross-asset ADX / trend-strength screener cut — distinct from the bring-your-own-candle trend-indicator API and the moving-average, RSI, MACD, Bollinger and Donchian screeners. It separates the trending markets from the chop across every asset class at once.

api.oanor.com/adxscreener-api

Which markets just printed a reversal or continuation candlestick pattern on their latest daily candle, computed live from Yahoo Finance (no key, nothing stored). Candlestick patterns are the oldest price-action signals there are: a hammer at a low hints a bounce, a shooting star at a high a turn, an engulfing candle a momentum shift. For a cross-asset, cross-sector universe — equity indices and sectors, gold, oil, commodities, bonds and crypto — this reads each asset's most recent candles and detects the classic single- and two-candle patterns (doji, hammer, inverted hammer, shooting star, hanging man, bullish/bearish engulfing, bullish/bearish harami, marubozu), tagging each bullish, bearish or neutral. The screener endpoint returns every market flashing a pattern right now, split into bullish and bearish signals. The asset endpoint returns one market's latest candle with any pattern detected on it. The patterns endpoint lists what is recognised. The cross-asset candlestick-pattern screener cut — distinct from the crypto-only pattern detector and the bring-your-own-candle pattern API. It scans the whole market for price-action signals at once.

api.oanor.com/candlestickscreener-api

Which markets are breaking out of their recent trading range, computed live from Yahoo Finance (no key, nothing stored). The Donchian channel — the highest high and lowest low of the last N days — is the breakout system the legendary Turtle traders rode: a close above the 20-day high is a classic long entry, below the 20-day low a short, and the 55-day channel is the slower, higher-conviction version. For a cross-asset, cross-sector universe — equity indices and sectors, gold, oil, commodities, bonds and crypto — this computes each asset's 20-day and 55-day Donchian channels (upper, lower and midline), where price sits inside the 20-day channel, and flags fresh breakouts above the high or below the low. The screener endpoint returns the upside and downside breakouts across the board plus the channel-position ranking. The asset endpoint returns one market's Donchian card. The universe endpoint lists what is covered. The cross-asset Donchian / channel-breakout (Turtle) screener cut — distinct from the crypto-only Donchian screener, the 52-week-range screener (a much longer window), the Bollinger-Bands screener and the bring-your-own-candle indicator APIs. It catches the range breakouts across every asset class at once.

api.oanor.com/donchian-api

Which markets just triggered a MACD buy or sell signal, computed live from Yahoo Finance (no key, nothing stored). The MACD — the gap between a fast and a slow moving average, smoothed by a signal line — is the workhorse momentum indicator: when the MACD line crosses up through its signal line it is a bullish trigger, down through it bearish, and the histogram between them shows momentum building or fading. For a cross-asset, cross-sector universe — equity indices and sectors, gold, oil, commodities, bonds and crypto — this computes each asset's MACD (12/26 EMA), signal line (9 EMA) and histogram, flags whether it is in a bullish or bearish posture, and detects how recently the lines crossed. The screener endpoint returns the fresh bullish and bearish crossovers across the board plus the histogram ranking. The asset endpoint returns one market's MACD card. The universe endpoint lists what is covered. The cross-asset MACD / momentum-crossover screener cut — distinct from the bring-your-own-candle technical-indicator APIs, the RSI, Bollinger and moving-average screeners and the FX-only signals API. It finds the fresh momentum triggers across every asset class at once.

api.oanor.com/macd-api

Which markets are overbought and which are oversold, ranked, computed live from Yahoo Finance (no key, nothing stored). The Relative Strength Index is the most-watched momentum oscillator: above 70 a market is overbought and stretched, below 30 oversold and ripe for a bounce, and the swing between them frames most mean-reversion trades. For a cross-asset, cross-sector universe — equity indices and sectors, gold, oil, commodities, bonds and crypto — this computes each asset's 14-day RSI (Wilder's method) and its 14-day Stochastic %K, tags it overbought / neutral / oversold, and ranks the whole board. The screener endpoint returns the markets that are overbought and oversold right now, sorted from hottest to coldest. The asset endpoint returns one market's oscillator card. The universe endpoint lists what is covered. The cross-asset RSI / oscillator screener cut — distinct from the crypto-only RSI screener, the bring-your-own-candle oscillator and technical-indicator APIs and the Bollinger and moving-average screeners. It finds the stretched markets across every asset class at once.

api.oanor.com/rsiscreener-api

Which markets are coiled for a breakout and which are stretched to their bands, computed live from Yahoo Finance (no key, nothing stored). Bollinger Bands wrap a 20-day average in plus/minus two standard deviations; price riding the upper band is strong, the lower band weak, and — the prized signal — when the bands pinch tight (a "squeeze"), volatility has compressed and a big move usually follows. For a cross-asset, cross-sector universe — equity indices and sectors, gold, oil, commodities, bonds and crypto — this computes each asset's bands, its %B (where price sits between the lower band at 0 and the upper at 100), the bandwidth and whether bandwidth is at a multi-month low (a squeeze, breakout pending). The screener endpoint returns the board with the markets in a squeeze, the ones breaking above the upper band and the ones breaking below the lower. The asset endpoint returns one market's Bollinger card. The universe endpoint lists what is covered. The Bollinger Bands / volatility-squeeze screener cut — distinct from the bring-your-own-candle technical-indicator APIs, the FX-only z-score API and the market-breadth API. It finds the coiled springs across the whole market.

api.oanor.com/bollinger-api

Which markets just flipped trend on the most-watched signal in technical analysis — the 50-day vs 200-day moving-average cross — computed live from Yahoo Finance (no key, nothing stored). A golden cross, the 50-day average crossing up through the 200-day, is the classic confirmation of a new uptrend, and a death cross the opposite; funds and headlines move on them. For a cross-asset, cross-sector universe — equity indices and sectors, gold, oil, commodities, bonds and crypto — this computes each asset's 50- and 200-day moving averages, whether it is in a golden-cross (bullish) or death-cross (bearish) regime, how many days since the last cross, and how far price sits above or below each average. The screener endpoint returns the whole board with the markets that have crossed most recently — the fresh golden and death crosses — and the bullish/bearish tally. The asset endpoint returns one market's moving-average card. The universe endpoint lists what is covered. The moving-average-crossover / golden-cross screener cut — distinct from the bring-your-own-candle technical-indicator APIs, the market-breadth API (which aggregates the share above a single moving average) and the FX-only signals API.

api.oanor.com/goldencross-api

How far every major market is below its peak and how long it has been underwater, computed live from Yahoo Finance (no key, nothing stored). Drawdown is the risk investors actually feel: not volatility in the abstract, but the gap between today's price and the high-water mark, and the painful stretch spent climbing back. For every asset — equity indices, bonds, gold, oil, commodities, FX and crypto — this measures the current drawdown from its rolling peak, the worst (maximum) drawdown over the window, the date and level of the peak, how many days it has been underwater, and how much of the fall it has already recovered. The monitor endpoint returns the whole universe ranked by current drawdown — what is deepest underwater and what is back at new highs — with a summary of how many markets are in drawdown. The asset endpoint returns one market's drawdown card. The universe endpoint lists what is covered. The cross-asset drawdown / underwater-recovery cut — distinct from the FX-only drawdown API, the crypto all-time-high API and the cross-asset volatility API (which ranks risk-adjusted return, not the underwater curve). It answers how far from the highs, and how long.

api.oanor.com/assetdrawdown-api

The calendar patterns equity traders position around — "Sell in May", the Santa Claus rally, the September swoon — computed live from ~10 years of Yahoo Finance monthly data across the world's major stock indices (no key, nothing stored). Equities have well-documented seasonal tendencies, and this measures them directly: for each index it takes a decade of monthly returns, groups them by calendar month, and returns the average return in each of the twelve months, the share of years that month was positive (the win rate), and the historically strongest and weakest months. The seasonality endpoint returns one index's full 12-month seasonal profile plus the current month's historical bias. The month endpoint flips it around: for a calendar month it ranks every index by its historical average return, so you can see which markets are seasonally strong or weak right now. The indices endpoint lists what is covered, from the S&P 500, Nasdaq, Dow and Russell to the DAX, FTSE, CAC, Euro Stoxx, Nikkei and Hang Seng. The equity-index seasonality / calendar-pattern cut — distinct from the FX, commodity and crypto seasonality APIs, the index price feed and the constituent APIs.

api.oanor.com/indexseasonality-api

The risk dashboard for the whole multi-asset book — how volatile each asset class is, how much it returned, and how much return it paid per unit of risk, computed live from Yahoo Finance (no key, nothing stored). Return without risk is meaningless; this puts them side by side. For every instrument — equities, bonds, gold, oil, commodities, FX and crypto — it measures the annualised realised volatility (the standard deviation of daily returns, the market's fear gauge), the trailing return, a Sharpe-style risk-adjusted return (return per unit of volatility) and the worst peak-to-trough drawdown over the window. The ranking endpoint returns the universe ranked by whichever you choose — volatility, Sharpe, return or drawdown — so you can see the calmest and wildest assets and who paid the best risk-adjusted return. The asset endpoint returns one instrument's full risk profile. The universe endpoint lists what is covered. The cross-asset volatility / risk-adjusted-return ranking cut — distinct from the crypto-only volatility and risk APIs, the FX-only volatility API and the bring-your-own-series risk-metrics, CAPM and portfolio-optimiser calculators. It ranks live risk across asset classes.

api.oanor.com/assetvolatility-api

Where every major asset sits in its one-year range — across stocks, indices, bonds, commodities, FX and crypto — computed live from Yahoo Finance (no key, nothing stored). The 52-week high/low is the single most-watched level in markets: assets breaking to new 52-week highs are in confirmed uptrends and chased by momentum, while new 52-week lows mark capitulation, and the "new highs / new lows" list is a classic breadth and momentum read. This places each instrument in its range as a 0-100 position (0 = sitting on its 52-week low, 100 = at its 52-week high), with how far it is below the high and above the low, and flags fresh new highs and new lows. The screener endpoint returns the whole multi-asset universe ranked by range position — what is breaking out at the top and breaking down at the bottom — plus the new-high and new-low lists. The asset endpoint drills into one instrument. The universe endpoint lists what is covered. The 52-week-range / new-highs-new-lows momentum cut across asset classes — distinct from the crypto Donchian-breakout screener (crypto only) and the single-quote, index, commodity and stock price feeds, which carry the 52-week high/low as a field but do not rank it across a multi-asset book.

api.oanor.com/fiftytwoweek-api

The calendar patterns commodity traders position around, computed live from ~10 years of Yahoo Finance monthly futures data (no key, nothing stored). Commodities are the most seasonal market there is: natural gas tends to rally into winter heating demand, gasoline into the summer driving season, grains around the planting and harvest calendar. This measures it directly — for each commodity it takes a decade of monthly returns, groups them by calendar month, and returns the average return in each of the twelve months, the share of years that month was positive (the win rate), and the historically strongest and weakest months. The seasonality endpoint returns one commodity's full 12-month seasonal profile plus the current month's historical bias. The month endpoint flips it around: for a given calendar month it ranks every commodity by its historical average return, so you can see what is seasonally bullish or bearish right now. The commodities endpoint lists what is covered. The commodity-seasonality / calendar-pattern cut — distinct from the FX-seasonality API (currencies), the commodity-price feed, the commodity-spreads and the commodity-momentum APIs. It answers what a commodity usually does this month, not what it costs today.

api.oanor.com/commodityseasonality-api

The statistical-arbitrage signal between two coins — how stretched their price ratio is versus its own recent average, computed live from Binance daily candles (no key, nothing stored). Pairs traders do not bet on direction; they bet on the spread between two correlated coins reverting to its mean. When ETH/BTC (or any ratio) runs two standard deviations above its average, the spread is stretched — short the rich leg, long the cheap one, and profit when it snaps back. The spread endpoint takes two coins and returns the current price ratio, its rolling mean and standard deviation, the z-score (how many standard deviations stretched), the return correlation of the two coins (pairs trading works on correlated pairs) and a long/short mean-reversion signal. The screener endpoint scans every pair in a liquid basket and ranks them by absolute z-score — the most stretched, most tradeable spreads right now. The coins endpoint lists what is covered. The pairs-trading / relative-value spread cut for crypto — distinct from the correlation-&-beta API (which gives the correlation matrix, not the tradeable spread), the single-coin momentum, the funding-arbitrage and the price APIs. It answers whether a spread is stretched, not whether two coins move together.

api.oanor.com/cryptopairs-api

How broad the US stock market's move really is under the surface, computed live from Yahoo Finance across a large-cap universe (no key, nothing stored). The S&P 500 can be dragged up by a handful of megacaps while most stocks fall; breadth tells you how many stocks are actually participating. The breadth endpoint scans a ~50-name large-cap universe spanning every sector and returns the share trading above their 20-, 50- and 200-day moving averages (the classic participation gauges), the advancers versus decliners on the day, the advance/decline ratio, the average and median daily change and a regime label (broad strength, mixed or broad weakness). The components endpoint returns the per-stock table behind it — each name's price, daily change and whether it is above each moving average — so you can see exactly which stocks are carrying or dragging the market. The constituents endpoint lists the universe. The equity market-internals / breadth cut — distinct from the crypto-breadth API (which scans coins), the single-quote, index-constituent and movers APIs. It answers whether a rally is broad or narrow, not how one stock is doing.

api.oanor.com/equitybreadth-api

How statistically stretched each currency pair is right now versus its own recent average — the z-score mean-reversion gauge — computed live from Yahoo Finance daily rates (no key, nothing stored). A price alone tells you nothing about whether a pair is cheap or dear; the z-score does: it measures how many standard deviations the current rate sits above or below its rolling mean. A pair two standard deviations above its average is statistically overbought and prone to snap back; two below is oversold. The zscore endpoint returns, for a pair, the current rate, its rolling mean and standard deviation, the z-score, the percent distance from the mean and a plain overbought / oversold label. The screener endpoint scans the major and cross pairs and ranks them by how stretched they are — the most overbought and most oversold at a glance, the mean-reversion opportunity scan. The pairs endpoint lists what is covered. The statistical-stretch / mean-reversion cut for FX — distinct from the FX range, pivot-point, volatility and signals APIs. It answers how far from normal a pair is, not where its support sits or how fast it moves.

api.oanor.com/fxzscore-api

Live short-interest data for US stocks from Nasdaq — no key, nothing stored. The "how heavily is it shorted, and is a squeeze building" view of a stock: the number of shares sold short, the average daily volume and the resulting days-to-cover, reported each settlement period, distinct from the quote, movers, insider and analyst APIs in the catalogue. The current endpoint returns the latest short-interest reading together with the change from the prior period — a rising or falling short position with the share delta and percent change. The history endpoint returns the full settlement-by-settlement timeline so you can see how the short position has trended over the year. Days-to-cover — short interest divided by average daily volume — is the headline squeeze metric: the higher it is, the longer shorts would need to buy back their position. Build short-squeeze scanners, bearish-positioning dashboards, risk overlays and contrarian-signal bots on top of real Nasdaq short-interest data. Look up any US stock by its ticker; share counts are returned as clean numbers. Note that short interest is reported about twice a month and a few non-Nasdaq listings may not be covered.

api.oanor.com/shortinterest-api

Live CNN Fear & Greed Index for the US stock market — no key, nothing stored. The equity-market sentiment gauge: a single 0–100 score (0 = extreme fear, 100 = extreme greed) built from seven market indicators, distinct from the crypto Fear & Greed index in the catalogue. The index endpoint returns the headline score and rating plus the previous close and the readings one week, one month and one year ago, so you can see how sentiment has shifted. The components endpoint breaks the index into its seven underlying indicators — market momentum, stock-price strength, stock-price breadth, put/call options, market volatility (VIX), junk-bond demand and safe-haven demand — each with its own score and fear/greed rating, so you can see what is actually driving sentiment. The history endpoint returns the daily score timeline for the last year. Build market-sentiment dashboards, contrarian-signal bots, risk dashboards and newsletter widgets on top of the most-watched sentiment gauge in equities. Score bands: 0–24 extreme fear, 25–44 fear, 45–55 neutral, 56–75 greed, 76–100 extreme greed.

api.oanor.com/stockfeargreed-api

Live candlestick-pattern recognition that traders and trading bots run on OHLC candles — computed on demand, no key, nothing cached. Detect the patterns that complete on the last candle of a series; scan a whole series for every pattern occurrence with its position; or list the 24 supported patterns. Each match carries a bullish, bearish or neutral signal. Works for any market — forex, stocks, crypto or commodities. A pattern-recognition engine, distinct from numeric-indicator and support-resistance tools: it turns raw candles into the reversal and continuation signals a chartist reads.

api.oanor.com/candlestick-api

Live prediction-market and forecaster data from Manifold, the largest play-money prediction market and forecasting community, via its public API. On Manifold anyone can create a market and everyone trades with mana, the platform's play-money, so each market's price is a crowd-sourced probability and every trader has a track record. Search markets and get each one's question, current probability, mana volume, unique-bettor count, liquidity and creator. Read one market in full, with its description and close time. See the top holders of a market — who is forecasting which way and how much mana they have invested. Read a forecaster's profile: their mana balance, all-time profit and how many markets they have created. Live, no key, nothing stored. Distinct from real-money prediction-market and sports-odds APIs — this is Manifold's community markets, their crowd probabilities and their forecasters. Perfect for forecasting, trading-signal, research and community apps.

api.oanor.com/manifold-api

Live prediction-market data from Polymarket, the largest real-money prediction market, via its public Gamma API. On Polymarket people trade shares in the outcome of real-world events, so each market's price is a live, money-backed probability. Get the most active markets, each with its outcomes and their implied probabilities, the best bid and ask, the traded volume and the liquidity. Read one market in full, including its description and resolution date. Pull the biggest events — an event groups related markets, like a championship with one market per team — with their total volume and market count. Get one event with every sub-market and its current probability, the whole field at a glance. Live, no key, nothing stored. Distinct from sports-betting-odds and price-feed APIs — this is Polymarket's money-backed event probabilities and its markets. Perfect for forecasting, trading-signal, news and analytics apps.

api.oanor.com/polymarket-api

Live FX technical-analysis signals as an API, computed from European Central Bank daily reference rates. For any currency pair it builds the daily cross-rate series and returns the classic indicators traders watch — 20- and 50-day moving averages and their crossover (golden / death cross), a 14-day RSI (overbought / oversold) and momentum — rolled up into a simple bullish / neutral / bearish verdict. Get a pair's signal, its raw indicators with the recent closes, or scan a whole basket for the strongest setups. A ready-made signal layer for forex, trading and dashboard apps. Live, no key. Educational, not financial advice. Distinct from raw-rate, strength, volatility and correlation APIs.

api.oanor.com/fxsignals-api