Constructing Synthetic Long Positions Using Only Futures Contracts.

Constructing Synthetic Long Positions Using Only Futures Contracts

By [Your Professional Trader Name/Alias]

Introduction to Synthetic Positions in Crypto Futures

The world of cryptocurrency trading, particularly within the complex derivatives market, offers sophisticated strategies that go beyond simply buying and holding the underlying asset. For the experienced trader, futures contracts provide the flexibility to construct various synthetic positions. A synthetic position is an investment strategy that replicates the payoff profile of another financial instrument or position using a combination of different derivatives or cash market instruments.

This article focuses specifically on constructing a Synthetic Long Position using only futures contracts. This technique is invaluable when direct spot market access is restricted, when leverage needs to be precisely managed, or when a trader wishes to isolate the exposure of one asset by using another as a proxy—all within the regulated and highly liquid environment of futures exchanges.

For beginners looking to dive into this area, it is crucial to first grasp the fundamentals of futures trading, leverage, and margin requirements. Resources like Crypto Futures Trading for Beginners: A 2024 Guide to Trading Bots" can provide the necessary foundational knowledge before tackling synthetic strategies.

Understanding the Goal: The Synthetic Long

A standard long position in an asset (like Bitcoin) means the trader owns the asset outright and profits if the price rises. A Synthetic Long Position aims to achieve the exact same profit and loss (P&L) profile as owning the asset outright, but it does so by combining two or more derivative instruments.

When we restrict ourselves to using only futures contracts, the primary method for creating a synthetic long involves leveraging the relationship between a near-term futures contract and a longer-term futures contract, or by combining a futures contract with a theoretical (or actual) spot position proxy.

The most common and practical application for constructing a synthetic long using only futures contracts relies on the concept of Basis Trading or Cash-and-Carry Arbitrage replication, often involving an index or a perpetual future structure, though for this specific exercise, we will focus on the relationship between two outright futures contracts of the same underlying asset but different maturities.

The Core Components: Futures Contracts

Futures contracts derive their value from an underlying asset (the index, the cryptocurrency). They obligate the holder to buy or sell the asset at a specified price on a specified future date.

In crypto markets, we typically deal with: 1. Quarterly Futures (e.g., BTC Quarterly Futures) 2. Perpetual Futures (which behave like a rolling short-term contract)

To construct a synthetic long using only two outright futures contracts, the strategy often involves hedging or isolating risk related to the time decay (contango or backwardation) inherent in the term structure of the asset. However, a true synthetic long (replicating the spot position) is usually constructed using a combination of a spot asset and a futures contract, or a combination of futures and options.

Since the constraint is only futures contracts, we must look at how we can synthesize the exposure of holding Asset X (Spot Long) using two different futures contracts expiring at different times (F1 and F2).

The Synthetic Long using Forward/Futures Pricing Theory

The theoretical price of a futures contract ($F$) is related to the spot price ($S$) by the cost of carry ($c$): $F = S \times e^{(r \times t)}$ Where $r$ is the risk-free rate and $t$ is the time to maturity.

If we were using spot and futures, a synthetic long is often created by: 1. Buying the Spot Asset (Long Spot) 2. Selling a Futures Contract (Short Futures)

This combination perfectly mimics a risk-free lending rate strategy, but it is not what we are aiming for, as it requires the spot asset.

Constructing the Synthetic Long with Two Futures Contracts

The strategy that most closely approximates a synthetic long position using only two futures contracts typically involves exploiting the difference between two contract expirations, which is more akin to a Calendar Spread or Time Spread, rather than a direct synthetic long of the underlying asset itself.

However, if we interpret "Synthetic Long" as achieving the payoff of being long the asset *at a specific future date*, we can use a combination that locks in the price today.

Consider the following scenario, which is highly dependent on the market structure:

Strategy: Synthetic Long via Calendar Spread Adjustment

This strategy attempts to capture the movement of the underlying asset price (S) by eliminating the time decay element inherent in the spread.

1. **Buy the Near-Term Contract (Long F1):** Purchase a futures contract expiring sooner (e.g., 1-month expiry). 2. **Sell the Far-Term Contract (Short F2):** Sell a futures contract expiring later (e.g., 3-month expiry).

This combination establishes a Calendar Spread Position.

Payoff Analysis of the Calendar Spread: If the underlying asset price rises, both F1 and F2 prices will generally rise. In a normal market (contango, where F2 > F1), the difference between them (the spread) might narrow or widen depending on how quickly the spot price converges to the near-term contract. This position is not a direct synthetic long of the asset itself; it is a bet on the *relative* price movement between the two maturities.

How to Force it into a Synthetic Long Profile?

To make this combination behave like a synthetic long (profit when S goes up), we need to adjust the *ratio* of contracts such that the net sensitivity to the underlying price change (the effective delta) is approximately +1.0.

In a market where the basis (the difference between spot and futures) is predictable, a synthetic long can be approximated by:

Long Synthetic Position = Long Position in Asset X (Spot Equivalent)

If we consider a scenario where the market is in deep backwardation (near-term contract price is significantly higher than the far-term contract price, $F1 > F2$), and we wish to replicate buying the asset today:

We need a position that profits dollar-for-dollar when the underlying asset price moves up.

The True Synthetic Long using Futures Only (The Theoretical Approach):

In textbook finance, a synthetic long position of an asset $S$ is achieved by: 1. Long Position in Futures Contract $F_t$ (expiring at time $t$). 2. Simultaneously holding a position that offsets the time decay/interest rate exposure.

Since we are restricted to *only* futures contracts, we must find a way to neutralize the time component. This is typically done by pairing a long position in one contract with a short position in another contract, but with specific *notional* weighting.

Let $N$ be the notional value of the underlying asset we wish to replicate. We seek: $Position = \alpha \times \text{Long } F_A + \beta \times \text{Short } F_B$ Such that the P&L of this combination equals $N \times (S_{final} - S_{initial})$.

This is extremely difficult to achieve perfectly using only two outright futures contracts because their time to maturity ($t_A$ and $t_B$) is fixed, leading to inherent time decay differences.

Practical Application: Using Perpetual Futures for Replication

In the crypto space, the most common way to create a highly leveraged, synthetic long exposure using only derivatives is by utilizing the Perpetual Futures Contract (Perp).

A Perpetual Future contract is designed to track the spot price very closely through its funding mechanism.

The Synthetic Long using One Perpetual Contract: If a trader buys a long position in a Bitcoin Perpetual Future contract, they are effectively taking a leveraged long position on Bitcoin. While this isn't "synthetic" in the sense of combining two different instruments to *create* the exposure, it is synthetic in that the trader does not hold the underlying BTC asset; their exposure is purely derivative.

However, the prompt implies combining contracts. Let's assume the trader wants to replicate the spot price exposure without relying on the funding rate mechanism of the Perp, or perhaps the Perp market is illiquid compared to quarterly futures.

The Synthetic Long using Quarterly Futures (The Textbook Replication)

If we are forced to use only two Quarterly Futures ($F_A$ expiring at $t_A$, $F_B$ expiring at $t_B$, with $t_A < t_B$), the only way to achieve a synthetic long ($\Delta \approx +1$) is if the market structure allows for a specific arbitrage-like relationship that mimics holding the asset.

This usually involves the Synthetic Forward Contract concept, which states that a long position in the asset can be replicated by: 1. Selling a Futures Contract ($F_t$). 2. Investing the present value of the contract's notional amount at the risk-free rate until maturity $t$.

Since we cannot use the "investment" (the cash/spot component), we must substitute it with another futures contract.

The Solution: Isolating the Interest Rate Component

We can attempt to isolate the movement of the underlying asset ($S$) by neutralizing the time value difference between $F_A$ and $F_B$.

1. **Determine the Cost of Carry:** Calculate the expected difference in price due to holding the asset from $t_A$ to $t_B$. This is driven by interest rates ($r$) and convenience yield ($y$): $F_B = F_A \times e^{(r-y)(t_B - t_A)}$.

2. **Constructing the Position:** A synthetic long of the asset $S$ can be approximated by:

   Long Synthetic Long = Long Position in $F_B$ (Far Term) + Short Position in $F_A$ (Near Term) * Adjustment Factor ($\gamma$)

If the market is perfectly efficient, the P&L of holding the spot asset ($S$) should equal the P&L of a specific combination of futures contracts that eliminates the time decay.

If we assume a constant interest rate environment, the P&L of a long spot position, when marked-to-market at time $t_A$, should equal the P&L of a forward contract expiring at $t_A$.

To create a position that perfectly mimics long $S$, we need a position whose value $V$ at time $t$ is $V(t) = S(t)$.

If we use two contracts, $F_A$ and $F_B$, the combination that replicates the spot price $S$ is often found in the context of creating a Synthetic Zero-Coupon Bond or isolating cash flows, not typically a synthetic long of the underlying asset itself using only two futures contracts of the *same* underlying.

However, in the context of crypto derivatives where liquidity often favors the Perpetual Future, the most pragmatic interpretation of "Synthetic Long using only Futures" is the direct long position in the Perpetual Future, as it perfectly mimics the spot asset P&L without requiring spot ownership or maturity dates.

Let's proceed with the Perpetual Future interpretation, as it is the most robust method for creating a derivative-only long position that tracks the spot price in crypto markets.

Strategy 1: The Perpetual Futures Long (The Practical Synthetic Long)

A Perpetual Future contract (Perp) is a futures contract that never expires. It maintains a price very close to the spot price via the funding rate mechanism.

Position Construction: 1. **Instrument:** Select the desired asset's Perpetual Future (e.g., BTC/USDT Perpetual). 2. **Action:** Execute a Long Buy Order on the chosen exchange. 3. **Sizing:** Determine the size based on desired leverage and margin availability.

Payoff Profile: The P&L of a long Perp position closely mirrors the P&L of holding the underlying spot asset, minus any costs incurred from the funding rate payments.

• If BTC price rises: P&L increases.
• If BTC price falls: P&L decreases.

Advantages:

• No expiration date: Eliminates the need for rolling contracts.
• High leverage availability.
• Direct tracking of spot price (when funding rates are near zero).

Disadvantages:

• Funding Rate Risk: If the market is heavily long, the trader must pay funding fees periodically, which erodes the profit of the long position over time. This is the primary deviation from a true spot long.

For traders interested in analyzing current market conditions that affect these positions, reviewing daily analyses is essential, such as the insights found in BTC/USDT Futures Handelanalyse - 12 07 2025.

Strategy 2: The Synthetic Long using Two Quarterly Futures (The Calendar Arbitrage Proxy) =

If the Perpetual market is unavailable or undesirable due to high funding costs, we must revert to Quarterly Futures. Since a true synthetic long (P&L = Spot P&L) is mathematically impossible using only two standard, non-expiring contracts of the same underlying, we construct a position that isolates the *price direction* while neutralizing the *time decay* or *arbitrage opportunity*.

This strategy is often used to establish a directional bias that is insulated from the carry cost between the two maturities.

Let $F_S$ be the near-term contract (Shorter maturity) and $F_L$ be the far-term contract (Longer maturity).

The relationship between them is: $F_L \approx F_S \times e^{(r \times \Delta t)}$

We want the net delta of our combined position to approximate +1.0 with respect to the underlying spot price $S$.

The Calendar Spread Position (Neutral Delta): 1. Buy $N_S$ contracts of $F_S$. 2. Sell $N_L$ contracts of $F_L$.

If this were a pure calendar spread, $N_S$ would equal $N_L$ (assuming identical contract sizes), resulting in a net delta near zero. This is not a synthetic long.

Creating Positive Delta (Approximation of Synthetic Long):

To create positive delta, we need the long leg ($F_S$) to have a greater notional exposure than the short leg ($F_L$).

1. **Determine Contract Delta:** In futures markets, the delta of a futures contract is approximately 1.0 (or the contract multiplier). 2. **Determine Notional Value:** Let $P_S$ and $P_L$ be the current prices of $F_S$ and $F_L$. 3. **Set the Ratio:** We need the ratio of notional values to achieve a net delta of +1.0.

If we hold $Q_S$ contracts of $F_S$ and $Q_L$ contracts of $F_L$: Total Delta $\approx (Q_S \times \text{Multiplier}_S) - (Q_L \times \text{Multiplier}_L)$

Since crypto futures usually have the same underlying asset and multiplier, we focus on the price difference.

The Key Insight: Synthetic Long via Forward Price Convergence

A true synthetic long position replicates holding the asset spot. If you hold spot $S$, your P&L at maturity $T$ is $S_T - S_0$.

If you sell a futures contract $F_T$ (Short Futures), your P&L is $F_T - F_0$. In efficient markets, $F_T \approx S_T$. Thus, Short Futures approximates Short Spot.

To achieve Synthetic Long Spot, you need a position that behaves like Short Futures + Cash Investment. Since we cannot use cash, we must use another futures contract to proxy the cash investment component.

This leads us back to the theoretical replication of a forward contract using two different maturities, which is highly sensitive to the cost of carry assumptions.

Practical Synthetic Long using Two Quarterly Contracts (The "Roll-Forward" Proxy):

This method is used when a trader wants the exposure of a long-term position but believes the near-term contract is temporarily mispriced relative to the far-term contract.

1. **Long the Asset at Maturity T (Synthetic Long Target):** We want the payoff of being long $S$ at time $T$. 2. **Establish the Forward Price:** The forward price $F(0, T)$ is the theoretical price today for delivery at $T$.

If we simply buy the far-term contract $F_L$ (Long $F_L$), we have a long position that expires at $T$. This is a standard long futures position, not strictly "synthetic" unless we define synthetic as "not holding spot." Given the constraints, this is the closest direct equivalent to a long position using an outright contract.

To make it synthetic, we must combine $F_L$ with $F_S$ to neutralize the time decay between $T_S$ and $T_L$.

The Formula for Synthetic Long (Approximation):

We construct a position that locks in the current spot price $S_0$ plus the interest accrued until maturity $T_L$.

$$ \text{Synthetic Long} \approx \text{Long } F_L - \text{Short } F_S \times \left( \frac{F_L - F_S}{F_S} \right) \times \frac{T_L}{T_L - T_S} $$

This formula is overly complex and relies on continuous compounding assumptions not easily verifiable in real-time crypto markets.

The Simplified, Directional Synthetic Long (The Spread Trade Mimicking Long Spot):

The most viable method for beginners attempting this using only two outright futures contracts is to use a calendar spread that is heavily skewed towards the near-term contract, effectively betting that the near-term contract will appreciate relative to the far-term contract *in a manner consistent with the underlying asset rising*.

1. **Buy Near-Term Contract ($F_S$):** Long position in the contract expiring soonest. 2. **Sell Far-Term Contract ($F_L$):** Short position in the contract expiring later.

To make this directional (Synthetic Long), we must ensure the net delta is positive. We do this by taking a larger notional position in the long leg ($F_S$) than the short leg ($F_L$).

Example: If BTC is trading at $S$. $F_S$ (1-month) is at $S + \$100$. $F_L$ (3-month) is at $S + \$300$. (Contango market)

If we execute a 1:1 spread (Long $F_S$, Short $F_L$), the net delta is near zero, and the P&L depends only on the spread narrowing or widening.

To create a Synthetic Long, we need the net delta to be positive. We must quantify the relative sensitivity (delta) of each contract to the spot price $S$. In standard futures, the delta of both contracts moves toward 1.0 as $T \to 0$.

If we take a position where the notional value of the long leg is greater than the notional value of the short leg, we achieve positive delta.

Let $N_{Long}$ be the notional value of the long position, and $N_{Short}$ be the notional value of the short position. If $N_{Long} > N_{Short}$, the position has a positive delta, approximating a Synthetic Long.

Example Construction (Assuming $1\text{ BTC}$ contract size): If BTC Price $\approx \$70,000$. 1. Buy 1 contract of $F_S$ (Notional $\approx \$70,000$). 2. Sell 0.8 contracts of $F_L$ (Notional $\approx \$56,000$).

Net Notional Exposure $\approx \$14,000$ long. This position will profit if the underlying asset rises, mimicking a Synthetic Long, but the profit will be only a fraction (here, $14,000/70,000 = 20\%$) of a full spot position.

To achieve a full Synthetic Long ($\text{Delta} \approx +1.0$), the ratio must be calibrated precisely based on implied volatilities and the time until convergence, making this exercise extremely complex for beginners without specialized software to calculate the precise hedging ratio ($\gamma$).

Conclusion on Strategy 2: While mathematically possible under specific, controlled assumptions (like replicating a forward contract), constructing a perfect Synthetic Long using only two standard quarterly futures contracts requires advanced quantitative analysis to determine the correct ratio ($\gamma$) to neutralize the time decay component, rendering it impractical for most retail traders outside of professional arbitrage desks.

Strategy 3: Synthetic Long using an Inverse Perpetual and a Standard Perpetual

This strategy leverages the existence of two related perpetual contracts often found in crypto exchanges: the standard (linear) perpetual and the inverse perpetual.

A Linear Perpetual (e.g., BTCUSDT Perp) is priced in the collateral currency (USDT). Longing this is straightforward (Strategy 1).

An Inverse Perpetual (e.g., BTCUSD Inverse) is priced in the underlying asset (BTC). Shorting this contract is equivalent to longing the underlying asset, but priced in BTC terms.

If a trader wishes to create a synthetic long exposure but wants to avoid the funding rate of the linear contract, they can use the inverse contract structure.

Position Construction: 1. **Long the Linear Perpetual ($P_{Linear}$):** Standard long position in BTC/USDT. 2. **Short the Inverse Perpetual ($P_{Inverse}$):** Short position in BTC/USD (priced in BTC).

This combination is often used for hedging or isolating specific volatility components, but it does not inherently create a synthetic long that is superior to just longing the linear contract, unless the trader is trying to synthesize a position based on the relationship between the two contracts' funding rates or basis movements.

The True Synthetic Long using Inverse/Linear Pairing (Replicating Spot BTC): The most reliable way to synthesize spot exposure using two related futures contracts involves creating a structure that mimics the cash position $S$.

If we assume the trader has access to a stablecoin ($X=1 \text{ USDT}$) and wants to synthesize the long exposure of $1 \text{ BTC}$.

1. **Long $P_{Linear}$ (BTC/USDT):** This gives exposure to BTC price rising relative to USDT. 2. **Short $P_{Inverse}$ (BTC/USD):** Shorting this contract means you profit if the price of BTC falls relative to USD (which is pegged to USDT).

If you long 1 unit of BTC exposure in the linear market, and short 1 unit of exposure in the inverse market, the net effect is complex because the pricing mechanisms are different (one is collateralized by USDT, the other is collateralized by BTC).

This method is generally abandoned by traders seeking a simple synthetic long because it introduces cross-asset collateral risk and funding rate complexities from both contracts simultaneously.

The Practical Takeaway for Beginners: The "Synthetic" Nature of Futures Longs

For a beginner entering the crypto futures market, the term "Synthetic Long Position Using Only Futures Contracts" is best understood as: **Taking a Long position in a Perpetual Futures Contract.**

Why? Because the trader is achieving the P&L profile of owning the asset (long exposure) without actually holding the underlying asset (BTC). The exposure is purely derivative, hence "synthetic" relative to spot ownership.

If the instruction strictly demands combining *two or more* futures contracts to achieve the *exact* P&L of a spot long, the only viable theoretical structure involves complex calendar spread adjustments or using options (which are excluded here). Since options are excluded, and simple calendar spreads yield delta-neutral positions, the Perpetual Long remains the most practical answer.

We will structure the final guide around the Perpetual Long, acknowledging its synthetic nature relative to spot, and briefly touch upon the limitations of using two quarterly contracts.

Detailed Guide: Constructing the Synthetic Long via Perpetual Futures

This section details the step-by-step process for establishing a Synthetic Long position using a Perpetual Futures contract, which is the industry standard for derivative-only long exposure in crypto.

Step 1: Platform Selection and Verification

Ensure you are using a reputable exchange that offers perpetual futures trading (e.g., Binance, Bybit, OKX).

Prior to executing any trade, ensure you have adequate collateral (usually USDT or USDC) deposited in your futures wallet. For serious trading, understanding the necessary infrastructure is key; review the Essential Tools for Successful Cryptocurrency Futures Trading to ensure your setup supports efficient execution.

Step 2: Selecting the Contract

Identify the asset you wish to go long on (e.g., BTC, ETH). Select the Perpetual Futures contract for that asset, typically denoted as BTC/USDT (Perpetual) or similar.

Step 3: Determining Position Size and Leverage

Leverage magnifies both gains and losses. A synthetic long position established with 10x leverage means a 1% rise in BTC results in a 10% gain on your margin, but a 1% drop results in a 10% loss.

Calculation Example: Assume:

• Account Margin Available: $1,000$ USDT
• Desired Leverage: $5\text{x}$
• Current BTC Price: $\$70,000$
• Contract Multiplier: $1$ (Meaning 1 contract = 1 BTC)

1. Maximum Notional Position (with 5x leverage):

   $\$1,000 \text{ Margin} \times 5 = \$5,000 \text{ Notional Exposure}$

2. Number of Contracts to Buy:

   $$\text{Contracts} = \frac{\text{Notional Exposure}}{\text{Contract Price}} = \frac{\$5,000}{\$70,000} \approx 0.0714 \text{ Contracts}$$

You would place a 'Buy' order for $0.0714$ contracts. This position is your Synthetic Long.

Step 4: Order Execution

Choose your order type:

• Limit Order: Place a buy order at a specific price slightly below the current market price to try and improve entry.
• Market Order: Executes immediately at the current best available price. Use sparingly, especially in volatile conditions.

Action: Click "Buy" or "Long" for the calculated amount.

Step 5: Monitoring and Risk Management

Once the position is open, it is essential to monitor its performance and manage risk.

A. Monitoring Funding Rate: Check the funding rate displayed on the exchange interface.

• If the rate is positive (e.g., $+0.01\%$), you are paying the funding fee, which eats into your synthetic long profits.
• If the rate is negative (e.g., $-0.01\%$), you are *receiving* the funding fee, which enhances your synthetic long profits.

B. Setting a Stop-Loss: A stop-loss order is non-negotiable for leveraged positions. It automatically closes your position if the underlying asset moves against you by a predetermined amount, preventing the total loss of your margin.

Example: If you entered at $\$70,000$ with $5\text{x}$ leverage, you might set a stop-loss at $\$67,000$ to limit potential loss.

C. Setting a Take-Profit: Define your target price. Once the market reaches this level, the position is closed, locking in the profit from your synthetic long exposure.

Limitations of Using Only Quarterly Futures for Synthetic Longs

As discussed, achieving a true $\Delta=+1.0$ synthetic long using only two quarterly contracts ($F_S$ and $F_L$) is challenging because of the time decay component.

If a trader ignores the need for precise ratio calibration and simply buys the longer-dated contract ($F_L$), they have established a standard long futures position. If they combine $F_S$ and $F_L$ in equal notional amounts (a 1:1 calendar spread), the resulting position is delta-neutral or near-zero delta.

Position Combination	Net Delta	Primary Profit Driver
Long 1 Contract $F_L$ (Far Term)	$\approx +1.0$	Price movement of the underlying asset $S$.
Long 1 Contract $F_S$ (Near Term) + Short 1 Contract $F_L$	$\approx 0$	Change in the spread ($F_S - F_L$).
Long 1 Contract $F_S$ + Short 0.8 Contracts $F_L$ (Hypothetical Ratio)	$> 0$ (Partial Long)	Price movement of $S$, biased by convergence expectations.

The main issue with using quarterly contracts instead of perpetuals is Contract Rolling. When $F_S$ approaches expiry, the trader must close the profitable/unprofitable $F_S$ position and simultaneously open a new long position in the next available contract (e.g., $F_{New}$), effectively "rolling" the position forward. This process incurs transaction costs and exposes the trader to basis risk at the time of the roll.

This complexity underscores why the Perpetual Future is the preferred instrument for achieving derivative-only, synthetic long exposure in the crypto ecosystem.

Conclusion

Constructing a Synthetic Long Position using only futures contracts in the cryptocurrency space primarily translates to taking a leveraged long position in a Perpetual Futures contract. This method effectively synthesizes the profit profile of owning the underlying asset without the need for spot ownership, offering high capital efficiency.

While theoretical constructs exist using two quarterly contracts, they require complex calibration to neutralize the time-decay effect and are generally impractical due to the necessity of continuous contract rolling.

For beginners, mastering the Perpetual Long—including precise margin calculation, leverage control, and rigorous stop-loss implementation—is the foundational step toward utilizing these powerful derivative tools. Success in this arena requires diligence, continuous market analysis, and a deep respect for risk management.

Recommended Futures Exchanges

Exchange	Futures highlights & bonus incentives	Sign-up / Bonus offer
Binance Futures	Up to 125× leverage, USDⓈ-M contracts; new users can claim up to $100 in welcome vouchers, plus 20% lifetime discount on spot fees and 10% discount on futures fees for the first 30 days	Register now
Bybit Futures	Inverse & linear perpetuals; welcome bonus package up to $5,100 in rewards, including instant coupons and tiered bonuses up to $30,000 for completing tasks	Start trading
BingX Futures	Copy trading & social features; new users may receive up to $7,700 in rewards plus 50% off trading fees	Join BingX
WEEX Futures	Welcome package up to 30,000 USDT; deposit bonuses from $50 to $500; futures bonuses can be used for trading and fees	Sign up on WEEX
MEXC Futures	Futures bonus usable as margin or fee credit; campaigns include deposit bonuses (e.g. deposit 100 USDT to get a $10 bonus)	Join MEXC

Join Our Community

Subscribe to @startfuturestrading for signals and analysis.