Chart allocated to multiple instruments
Joined 25/03/23 21:50
Charting the Markets: 24 March The FTSE 100, DAX 40 and Nasdaq 100 slide on renewed banking woes while EUR/USD, EUR/GBP and GBP/USD drop as the US dollar, gold appreciate due to flight-to-quality flows. Crude oil and copper tumble on recession fears. Axel Rudolph FSTA | Senior Financial Analyst, London | Publication date: Friday 24 March 2023 This is here for you to catch up but if you have any ideas on markets or events you want us to relay to the TV team we’re more than happy to.
By DominicWalsh · PostedMarket Breakdown | WTI Oil, EURUSD, GBPNZD, EURAUDHere are the updates & outlook for multiple instruments in my watchlist.1️⃣ WTI Oil daily time frame️The market is trading in a long term bearish trend .After the last sharp bearish movement, the market is steadily recovering.Ahead, I see a major horizontal supply area.Probabilities are high, that the next bearish wave will initiate from there.2️⃣ EURUSD daily time frameAfter a breakout of a solid daily resistance, the market is preparing for its retest.Watch carefully the underlined zone and look for buying opportunities from there.3️⃣ EURAUD weekly time frameThe pair is currently approaching a weekly horizontal resistance cluster.Taking into consideration, that the pair is quite overbought, probabilities will be high to see a pullback from that4️⃣ GBPNZD daily time frameThe pair is currently retesting a broken neckline of an ascending triangle . As we discussed earlier, the trend line of a triangle and its neckline compose a contracting buy zone now.Chances will be high that the next bullish wave will initiate quite soon.For Additional confirmation use: Divergence Indicators
By DominicWalsh · Posted#CHFJPY: Classic Bearish Setup 🇨🇭🇯🇵 🔻CHFJPY has nicely respected a confluence zone based on a horizontal 4H resistance and a 0.5 retracement of the last bearish impulse. The price formed a double top pattern on that and broke its neckline. Probabilities will be high that the pair will drop lower soon. Goals: 141.172 / 140.363
How could I determine the appropriate historical chart data when there are multiple Instruments (markets) with the same chart data.
For example- There is Litecoin($1) and Litecoin(A$1) which come up with different EPIC's when retrieved via an REST API request search . However, both these epics would share the same historical chart data (quotes). How can I identify the appropriate historical pricing so I can assign it to both and avoid duplicate data and server requests?
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