Bitcoin CME Front-Month Futures Reach Deepest Discount Ever Recorded

newsbtcPubblicato 2022-08-25Pubblicato ultima volta 2022-08-25

Introduzione

It’s a new record for the CME. The Chicago Mercantile Exchange’s front-month contracts exhibit a large discount compared to bitcoin’s spot market price. These are the futures contracts that are...

It’s a new record for the CME. The Chicago Mercantile Exchange’s front-month contracts exhibit a large discount compared to bitcoin’s spot market price. These are the futures contracts that are soon to expire. The CME’s quarterly contracts tend to trade at a minimum premium, and this kind of discount for front-month contracts is not usual. They’ve been trading at a discount for a couple of months, but they reclaimed a premium with the market recovery at the beginning of August. As we all know, that didn’t last.
The CME futures contracts on bitcoin have been available since December 2017. The CME’s front-month contracts haven’t traded this low since July 21st of 2021, more than a year and a half ago. At that time, a hardcore short squeeze followed the phenomena. The liquidation amounted to more than $750 million worth of shorts, “leading the open interest denominated in bitcoin to fall by 47,000 BTC,” Arcane Research tweeted.
A couple of interesting charts from this week:
$757 million worth of shorts was liquidated yesterday, leading the open interest denominated in bitcoin to fall by 47,000 BTC.
Sources: @bybt_com, @skewdotcom, and @tradingview pic.twitter.com/XGcpO4jmSq
— Arcane Research (@ArcaneResearch) July 27, 2021

In the most recent “The Weekly Update” report, Arcane Research tackled the CME futures situation:
“The futures basis on CME’s most traded BTC contract, the front-month futures contract, is trading in sharp backwardation as the annualized basis reached an all-time low yesterday, averaging at -3.36%.”

CME BTC Futures Annualized Rolling 1-Month Basis - Arcane Research


CME BTC Futures Annualized Rolling 1-Month Basis | Source: The Weekly Update
Why Are CME Futures Trading This Low?
There are macro factors, like the bitcoin futures market showing signs of market exhaustion. We at NewsBTC explained the situation as follows:
“The reason behind the bitcoin futures premiums being down can be attributed to sell-offs that have rocked the digital asset in recent times. Not only have the sell-offs been apparent in investors who are directly exposed to the cryptocurrency but those who have exposure through traditional markets vehicles like ETFs have been selling off too.”

Bitcoin CME Futures - TradingView


BTC futures on CME for 08/25/2022 | Source: TradingView.com
However, Arcane Research’s “The Weekly Update” also identifies very specific factors. These are related to the present and the ProShares Bitcoin Strategy ETF or BITO:
“The growing discounts in the front-month contracts might be explained in part by structural effects. BITO has begun rolling their August contract exposure, possibly causing downward pressure on the front-month contracts. Yesterday, BITO rolled over 1000 August contracts and will roll over a further 3000 August contracts by Friday. Previous rolling periods have tended to be accompanied by a declining front-month basis.”
In any case, we can’t discard the situation as a normal occurrence. The discount is too steep. According to Arcane Research, it might be related to the disastrous start of the week for Nasdaq and the S&P 500. Or to the dollar gaining strength. Or to a general lack of liquidity. One thing’s for sure, something’s going on.

Letture associate

Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

Analysis of Bitcoin Trading Strategies: Why Celebrity Forecasts and Classic Models Fail, Leaving Only These Four Reliable Indicators This analysis examines the failure of common Bitcoin prediction methods and identifies four reliable indicators for constructing a trading strategy. The author reviewed all major BTC prediction approaches from 2017-2025, categorizing them into three groups: celebrity price targets (consistently over-optimistic), analytical models like Stock-to-Flow (broken post-2022), and on-chain signals. The key finding is that more data often creates confusion, not clarity. The strategy discards unreliable elements: celebrity predictions (incentivized to be extreme), pure models (invalidated by post-ETF market changes), and the Fear & Greed Index used alone (too many false signals). Four reliable indicators were selected: 1. **MVRV Z-Score:** Accurately identifies cycle bottoms when entering its green zone (e.g., 2018, 2020, 2022). Note: Its ability to call tops is now ineffective post-2024. 2. **SOPR (28-day MA):** Consistently signals bottoms when below 1.0, indicating holders are selling at a loss. 3. **ETF Net Flow:** A crucial post-2024 metric showing institutional momentum (e.g., sustained inflows = buying). 4. **Macro Liquidity (Fed policy & M2):** Sets the overall directional bias (e.g., bullish during easing cycles). The core strategy involves waiting for a multi-signal共振 (resonance). For example, a bottom signal requires MVRV in the green zone + SOPR < 1.0. A top signal requires overheated on-chain data + sustained ETF outflows. Macro policy sets the overall direction. The Fear & Greed Index is only used as a weighted confirmatory signal, never alone. Action is only taken when three or more indicators align. The author automated this into a monitoring system that sends Telegram alerts only when signals trigger. As of the article's date (April 15, 2026), the system showed a strong bottom signal: extreme fear (F&G=12), MVRV in the buy zone, and SOPR < 1.0. The only contrary signal was weak ETF flows. Historically, such triple on-chain共振 has preceded 100%+ returns. The conclusion emphasizes building a personal framework over relying on external predictions, allowing for iterative improvement and customization based on individual risk tolerance.

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Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

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