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This guy used Grok Bot to build a Quant Linear Regression system and it made $4,065 a day on Polymarket The result is already +$508,183 PnL in 125 days with about $258 per average trade, repeating the same setup 33 times every hour across BTC "Up or Down" markets...

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Daniro

8,623 subscribers

79,354 次观看 • 1 个月前 •via X (Twitter)

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7 条评论

swapcherry 的头像
swapcherry1 个月前

33 times an hour is insane

Ai Turning Futures 的头像
Ai Turning Futures1 个月前

This is an inaccurate post.

niko tesle 的头像
niko tesle1 个月前

@grok v’est vrai ? Et commét faire de l'argent sur polymarket

Teraliq Quant 的头像
Teraliq Quant1 个月前

$258/trade × 33 setups/hr ≈ $8.5k/hr, but you cite $4,065/day — which is it? Is the $508k live or backtested? Would love to see the losing days.

otaku monarch 的头像
otaku monarch1 个月前

This is fake news just paste it on grok.. grok will tell u is fake nes

S0SA 的头像
S0SA1 个月前

@JJChagerben357 que opinas de la IA para ganar dinero?

Rocky S 的头像
Rocky S1 个月前

@grok clone this

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This guy used Grok Bot to build a Quant Adaptive Efficiency system and it made $4,287 a day on Polymarket The result is already +$643,240 PnL in 150 days, with an average trade size of about $38.62 and the same setup repeated about 52 times per active hour across BTC “Up or Down” markets Several AI agents work together as one algorithm: 1. Efficiency Ratio measures how consistently BTC is moving The first agent compares the net price change with the total distance the price has traveled: ER = |Sₜ − Sₜ₋ₙ| / Σ|ΔS| Where: > Sₜ = current BTC price > Sₜ₋ₙ = BTC price at the start of the window > Σ|ΔS| = sum of absolute price changes within that window ER closer to 1 → more consistent directional movement ER closer to 0 → movement is mostly back and forth 2. KAMA adjusts its response speed to match those conditions The update factor is calculated using ER: α = [ER × (Fast − Slow) + Slow]² Then: KAMAₜ = KAMAₜ₋₁ + α × (Sₜ − KAMAₜ₋₁) Fast and Slow are the smoothing factors 2/(N + 1) for the short and long periods With higher ER, the line follows price faster. With lower ER, it adjusts more slowly BTC above a rising KAMA → Up bias BTC below a falling KAMA → Down bias The system considers new entries when ER passes the chosen filter and price aligns with KAMA’s direction This trader’s Polymarket account: Top trades: $4,588.09 → $7,904.50 (+$3,316.41) $1,578.23 → $4,811.28 (+$3,233.05) $2,215.59 → $5,305.15 (+$3,089.56) ER measures the consistency of the move, while KAMA uses that reading to adjust its response speed and identify direction
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This guy used Grok Bot to build a Quant Adaptive Efficiency system and it made $4,287 a day on Polymarket The result is already +$643,240 PnL in 150 days, with an average trade size of about $38.62 and the same setup repeated about 52 times per active hour across BTC “Up or Down” markets Several AI agents work together as one algorithm: 1. Efficiency Ratio measures how consistently BTC is moving The first agent compares the net price change with the total distance the price has traveled: ER = |Sₜ − Sₜ₋ₙ| / Σ|ΔS| Where: > Sₜ = current BTC price > Sₜ₋ₙ = BTC price at the start of the window > Σ|ΔS| = sum of absolute price changes within that window ER closer to 1 → more consistent directional movement ER closer to 0 → movement is mostly back and forth 2. KAMA adjusts its response speed to match those conditions The update factor is calculated using ER: α = [ER × (Fast − Slow) + Slow]² Then: KAMAₜ = KAMAₜ₋₁ + α × (Sₜ − KAMAₜ₋₁) Fast and Slow are the smoothing factors 2/(N + 1) for the short and long periods With higher ER, the line follows price faster. With lower ER, it adjusts more slowly BTC above a rising KAMA → Up bias BTC below a falling KAMA → Down bias The system considers new entries when ER passes the chosen filter and price aligns with KAMA’s direction This trader’s Polymarket account: Top trades: $4,588.09 → $7,904.50 (+$3,316.41) $1,578.23 → $4,811.28 (+$3,233.05) $2,215.59 → $5,305.15 (+$3,089.56) ER measures the consistency of the move, while KAMA uses that reading to adjust its response speed and identify direction

VALIX

13,492 次观看 • 7 天前

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➡️ Quantitative Finance From Scratch, Part 21: Linear Regression in finance Linear regression finds the straight line that best describes how one quantity moves with another. In finance, that is often a stock's daily return against the market's daily return. Least squares: for every day, you measure how far the real return lies from the line, square that distance and add everything up. The best line makes this sum as small as possible. The line has two numbers. The slope is the beta from Part 14: how strongly the stock follows the market. The intercept is alpha: what the stock earns on average on a day when the market does not move. What the line cannot explain is the residual, and R² tells you which share of the swings (the variance) the line explains, from 0 for nothing to 1 for everything. In this video we simulate two years (504 trading days) of a market and a stock with a built-in beta of 1.2, a second factor with a beta of 0.6 and no alpha. The line finds a beta of 1.26 (the 1.2 lies within the range of chance for two years of data), an alpha of +0.05% a day and an R² of 52%. With two inputs, the line becomes a plane: betas 1.27 and 0.60, R² 63%. Quants use regression to estimate betas, to size hedges, to test whether a strategy earns more than its risk, and to check whether two assets really move together. The limits: a regression only finds a relationship in the data you give it. It does not prove that one thing causes the other, a few extreme days can pull the line (three invented extreme days move our slope from 1.26 to 1.10), and a relationship from the past can change. Education only, not financial advice. #quantitativefinance #quant #finance #regression #beta

QuantFinanceToGo

59,100 次观看 • 1 个月前

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This guy built a trading bot with Claude and made $123,000 on Polymarket His bot makes 103.8 trades per hour, or 1.73 trades per minute, and trades as a systematic high-frequency directional hedging bot on short-term BTC/ETH markets His strategy is simple: > Enters positions at the start of new 5 and 15-min windows at around 0.50 > When the asset starts moving, it adds to the side that becomes more likely according to its signal > Uses the other side as a hedge His Polymarket account: With this strategy, he turned $19,700 into $123,000 in 2.5 months

VALIX

15,939 次观看 • 5 个月前

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VALIX

22,249 次观看 • 27 天前

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VALIX

36,453 次观看 • 3 个月前

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This guy used Claude Fable 5.1 to build a Quant Vortex Structure system and it made $3,475 a day on Polymarket The result is already +$319,684.59 PnL in 92 days with about $30.58 per average trade, repeating the same setup about 131.02 times per active hour across BTC Up/Down markets Several AI agents work together as one algorithm: 1. Vortex identifies direction by comparing consecutive BTC candles The first agent compares the current highs and lows with those of the previous candle: VI⁺ = Σₙ|Hₜ − Lₜ₋₁| / ΣₙTR VI⁻ = Σₙ|Lₜ − Hₜ₋₁| / ΣₙTR Where: > H and L = candle high and low > TR = true range, accounting for the previous close > n = number of candles in the window VI⁺ > VI⁻ → Up bias VI⁻ > VI⁺ → Down bias 2. Choppiness Index checks whether those movements form a consistent direction The second agent compares the combined candle ranges with the full price range over the same window: CHOP = 100 × log₁₀(ΣₙTR / (Hmax − Lmin)) / log₁₀(n) Where: Hmax − Lmin = full price range over n candles Lower CHOP indicates more directional movement. Higher CHOP indicates more back-and-forth movement within the range The system only considers the side identified by Vortex when CHOP falls below the selected threshold His Polymarket account: Top trades: $1,590.56 → $4,044.03 (+$2,453.47) $1,616.27 → $3,983.90 (+$2,367.63) $1,584.39 → $3,516.82 (+$1,932.43) Vortex identifies direction, while CHOP filters out entries when price movement consists mostly of back-and-forth swings

VALIX

40,787 次观看 • 6 天前

This guy used Grok Bot to build an asynchronous arbitrage system on Polymarket Result: +$1,340,486 It makes 340 trades per active hour in crypto Up/Down markets, combining market making, pairing, and a directional residual Several Grok Bot AI agents work together as one algorithm, making $7,406 per day: 1. Buys Up and Down at different times It places BUY limit orders on both sides of the market in advance and waits for temporary price dislocations The goal is: Avg Up price + Avg Down price Up price + fees → BUY Up This trader’s Polymarket account: The system’s main edge comes from combining asynchronous pairing with short-term repricing: > It buys each side at different points as the market moves > Locks in an edge on low-cost Up + Down pairs > Keeps additional directional exposure where its model identifies mispricing
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This guy used Grok Bot to build an asynchronous arbitrage system on Polymarket Result: +$1,340,486 It makes 340 trades per active hour in crypto Up/Down markets, combining market making, pairing, and a directional residual Several Grok Bot AI agents work together as one algorithm, making $7,406 per day: 1. Buys Up and Down at different times It places BUY limit orders on both sides of the market in advance and waits for temporary price dislocations The goal is: Avg Up price + Avg Down price Up price + fees → BUY Up This trader’s Polymarket account: The system’s main edge comes from combining asynchronous pairing with short-term repricing: > It buys each side at different points as the market moves > Locks in an edge on low-cost Up + Down pairs > Keeps additional directional exposure where its model identifies mispricing

VALIX

11,581 次观看 • 16 天前

This guy built a trading bot with Claude and made $74,000 on Polymarket His bot trades the microstructure of short-term Up/Down markets through high-frequency accumulation of two-sided positions with directional exposure His strategy has six steps: 1. At the start of each 5-minute market, it records the current Bitcoin or Ethereum price 2. It then tracks the asset’s movement, remaining time, short-term momentum, and volatility 3. Based on this data, it calculates its own fair probability for Up and Down 4. It buys an outcome when the market price appears undervalued 5. If the asset’s price direction changes, the bot may first buy Up and then start buying Down 6. The opposite side partially hedges the accumulated position, while the remaining directional exposure creates the edge This guy’s Polymarket account: Using this strategy, he maintains positive expected value and consistently grows his deposit
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This guy built a trading bot with Claude and made $74,000 on Polymarket His bot trades the microstructure of short-term Up/Down markets through high-frequency accumulation of two-sided positions with directional exposure His strategy has six steps: 1. At the start of each 5-minute market, it records the current Bitcoin or Ethereum price 2. It then tracks the asset’s movement, remaining time, short-term momentum, and volatility 3. Based on this data, it calculates its own fair probability for Up and Down 4. It buys an outcome when the market price appears undervalued 5. If the asset’s price direction changes, the bot may first buy Up and then start buying Down 6. The opposite side partially hedges the accumulated position, while the remaining directional exposure creates the edge This guy’s Polymarket account: Using this strategy, he maintains positive expected value and consistently grows his deposit

VALIX

25,678 次观看 • 4 个月前

He built a trading bot on Polymarket with Claude Result: +$198,045 in 4 months His bot trades the microstructure of short-term crypto Up/Down markets using a hybrid high-frequency strategy with 3 core elements: 1. Builds a directional position by choosing the Up or Down outcome that is currently undervalued relative to his model 2. If the market movement changes, it starts buying the opposite side as a hedge or to flip the position 3. If it sees an arbitrage opportunity, it builds a full set of Up and Down His Polymarket account: Using this strategy, he captures a consistent edge and repeats it thousands of times That’s how he keeps growing his capital
0:29

He built a trading bot on Polymarket with Claude Result: +$198,045 in 4 months His bot trades the microstructure of short-term crypto Up/Down markets using a hybrid high-frequency strategy with 3 core elements: 1. Builds a directional position by choosing the Up or Down outcome that is currently undervalued relative to his model 2. If the market movement changes, it starts buying the opposite side as a hedge or to flip the position 3. If it sees an arbitrage opportunity, it builds a full set of Up and Down His Polymarket account: Using this strategy, he captures a consistent edge and repeats it thousands of times That’s how he keeps growing his capital

VALIX

28,693 次观看 • 3 个月前

This trader used Claude to build a Quant Bot and made +$61,370 on Polymarket Since Mar 27, this wallet has been averaging roughly $820 in daily profit and a little over 20 trades per hour 36,611 predictions with a 50% win rate in 75 days This trader’s Polymarket account: The first deposit was $5.4K From that starting balance, the bot is up roughly +1,136% ROI Quant strategy is simple: > It does not wait around for one huge move > It keeps entering where short-term pricing is still behind the tape > Runs the same setup again and again across a large number of entries > Each trade on its own is not massive, but repetition is what builds the result Most profitable trades: $604 → $1,923 (+$1,319 +218.48%) $1,083 → $2,112 (+$1,029 +95%) $114 → $1,132 (+$1,018 +892.74%) It is a repeatable short-window process that keeps turning small pricing mistakes into steady PnL
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This trader used Claude to build a Quant Bot and made +$61,370 on Polymarket Since Mar 27, this wallet has been averaging roughly $820 in daily profit and a little over 20 trades per hour 36,611 predictions with a 50% win rate in 75 days This trader’s Polymarket account: The first deposit was $5.4K From that starting balance, the bot is up roughly +1,136% ROI Quant strategy is simple: > It does not wait around for one huge move > It keeps entering where short-term pricing is still behind the tape > Runs the same setup again and again across a large number of entries > Each trade on its own is not massive, but repetition is what builds the result Most profitable trades: $604 → $1,923 (+$1,319 +218.48%) $1,083 → $2,112 (+$1,029 +95%) $114 → $1,132 (+$1,018 +892.74%) It is a repeatable short-window process that keeps turning small pricing mistakes into steady PnL

Daniro

12,012 次观看 • 5 个月前

Sine or cosine? On a slope, it's the bit almost everyone has to stop and think about. 📐 Turn the slope until it's flat, and the weight is just a tilted force on normal axes. The angle touches the vertical axis, so the part into the slope is mg cos θ and the part down it is mg sin θ. Sine for slope, C for contact. #maths #mechanics #physics #forces #alevelmaths
2:35

Sine or cosine? On a slope, it's the bit almost everyone has to stop and think about. 📐 Turn the slope until it's flat, and the weight is just a tilted force on normal axes. The angle touches the vertical axis, so the part into the slope is mg cos θ and the part down it is mg sin θ. Sine for slope, C for contact. #maths #mechanics #physics #forces #alevelmaths

mathsy.io

100,500 次观看 • 10 天前

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This guy built a trading bot with Claude and made $127,000 on Polymarket His trading bot makes 196.8 trades per hour and buys markets for $15.6. It trades mispricing on short crypto Up/Down markets with an average entry price of 0.559 His strategy is simple: > Buys with limit orders > Compares current BTC/ETH prices with Polymarket prices and looks for undervalued outcomes > Buys the opposite side as a hedge or to flip the position This guy’s Polymarket account: He captures a consistent micro edge and repeats this hundreds of times, growing his capital

VALIX

152,711 次观看 • 5 个月前

He built a trading bot on Polymarket with Claude Result: +$66,295 in 1 month His bot trades short-term crypto Up/Down markets using a strategy with 4 core elements: 1. Right after a market opens, it calculates the probability of Up and Down 2. If its own estimate differs from the price on Polymarket, it buys the undervalued outcome 3. When the move is confirmed, it increases the position, even if the price has become more expensive 4. If the signal changes, it starts buying the opposite side as a hedge or to flip the position His Polymarket username: uninformedfloww He captures a consistent edge through a large number of trades with positive expected value That’s how he made +$66k in one month
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He built a trading bot on Polymarket with Claude Result: +$66,295 in 1 month His bot trades short-term crypto Up/Down markets using a strategy with 4 core elements: 1. Right after a market opens, it calculates the probability of Up and Down 2. If its own estimate differs from the price on Polymarket, it buys the undervalued outcome 3. When the move is confirmed, it increases the position, even if the price has become more expensive 4. If the signal changes, it starts buying the opposite side as a hedge or to flip the position His Polymarket username: uninformedfloww He captures a consistent edge through a large number of trades with positive expected value That’s how he made +$66k in one month

VALIX

15,778 次观看 • 3 个月前

This guy built an HFT bot on Polymarket with Claude Result: +$174,125 in 2 months His bot trades 5 and 15-minute crypto Up/Down markets using a directional strategy with a dynamic hedge: 1. Constantly calculates its own probability for Up and Down 2. Buys the side where its model sees an edge 3. When the underlying asset reverses, it doesn’t close the position. Instead, it starts accumulating the opposite outcome This is how the algorithm constantly changes its net exposure inside each market The opposite side is used as a dynamic hedge, while the remaining exposure forms the directional position > Average trade: $14.68 > Trades/active hour: 131 > Win Rate: 52% His Polymarket account: This bot constantly recalculates probabilities and adapts its position to every new market move Using this strategy, it captures a micro edge and steadily grows its capital Save this so you don’t lose it
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This guy built an HFT bot on Polymarket with Claude Result: +$174,125 in 2 months His bot trades 5 and 15-minute crypto Up/Down markets using a directional strategy with a dynamic hedge: 1. Constantly calculates its own probability for Up and Down 2. Buys the side where its model sees an edge 3. When the underlying asset reverses, it doesn’t close the position. Instead, it starts accumulating the opposite outcome This is how the algorithm constantly changes its net exposure inside each market The opposite side is used as a dynamic hedge, while the remaining exposure forms the directional position > Average trade: $14.68 > Trades/active hour: 131 > Win Rate: 52% His Polymarket account: This bot constantly recalculates probabilities and adapts its position to every new market move Using this strategy, it captures a micro edge and steadily grows its capital Save this so you don’t lose it

VALIX

27,376 次观看 • 3 个月前

This trader used Claude to build a Quant Bot and made +$232,136 on Polymarket Since Mar 25, this wallet has been averaging about $3,180 in profit per day and a little over 7 trades per hour 13,070 predictions with a 47% win rate in 73 days This trader’s Polymarket account: This trader has put in $248.9K in deposits, which puts him at roughly +93% ROI The bot strategy is simple: >It waits for prices to lag behind the move gets filled before the market fully catches up >Then keeps recycling the same setup across many entries >One trade is not the story here. The result comes from repeating the same edge over and over until it compounds into a large PnL Most profitable trades: $6,757 → $24,330 (+$17,573, +260.06%) $7,597 → $23,943 (+$16,346, +215.15%) $11,472 → $27,672 (+$16,200, +141.21%) It is a repeatable process: find the lag, enter early, and keep pressing the same advantage until the gap disappears
0:26

This trader used Claude to build a Quant Bot and made +$232,136 on Polymarket Since Mar 25, this wallet has been averaging about $3,180 in profit per day and a little over 7 trades per hour 13,070 predictions with a 47% win rate in 73 days This trader’s Polymarket account: This trader has put in $248.9K in deposits, which puts him at roughly +93% ROI The bot strategy is simple: >It waits for prices to lag behind the move gets filled before the market fully catches up >Then keeps recycling the same setup across many entries >One trade is not the story here. The result comes from repeating the same edge over and over until it compounds into a large PnL Most profitable trades: $6,757 → $24,330 (+$17,573, +260.06%) $7,597 → $23,943 (+$16,346, +215.15%) $11,472 → $27,672 (+$16,200, +141.21%) It is a repeatable process: find the lag, enter early, and keep pressing the same advantage until the gap disappears

Daniro

54,383 次观看 • 5 个月前

This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange
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This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange

VALIX

98,892 次观看 • 5 个月前

This guy built a trading bot with Claude and made $96,500 on Polymarket His bot trades the microstructure of short-term crypto Up/Down markets and buys outcomes at an average order size of $26.40 His strategy is simple: > Buys both sides to build a balanced position with a combined Up + Down cost below $1 > Tracks the asset’s current price, price velocity, time remaining, and exchange quotes > When its probability model detects a strong signal, it increases exposure to one side and builds a directional position This guy’s Polymarket account: By combining arbitrage with directional trading, he consistently grows his capital
0:27

This guy built a trading bot with Claude and made $96,500 on Polymarket His bot trades the microstructure of short-term crypto Up/Down markets and buys outcomes at an average order size of $26.40 His strategy is simple: > Buys both sides to build a balanced position with a combined Up + Down cost below $1 > Tracks the asset’s current price, price velocity, time remaining, and exchange quotes > When its probability model detects a strong signal, it increases exposure to one side and builds a directional position This guy’s Polymarket account: By combining arbitrage with directional trading, he consistently grows his capital

VALIX

16,526 次观看 • 4 个月前

quant funds spend millions hiring people who know a formula you learned in 10th grade and never applied to a price chart y = mx + b. that's it linear regression - same math from high school most traders learned, ignored, and forgot existed what quants actually figured out: asset prices don't move randomly, they drift and revert with measurable slope regression separates signal from noise. slope tracks trend, residuals measure the deviation when deviation gets large enough, that's the trade - prices tend to snap back to the line quants call it "mean reversion." retail calls it "a dip" actual workflow: > pull 5 years of daily returns > run OLS, extract beta and residuals > z-score the residuals > entries at -2 standard deviations, exits at 0 retail draws trend lines by hand and calls it analysis Bookmark this ^ data is public, math is free, approach has been in papers since the 1980s 99% of traders have never built one signal this way it was never an information gap - always been a methodology gap, and that's the kind that compounds
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quant funds spend millions hiring people who know a formula you learned in 10th grade and never applied to a price chart y = mx + b. that's it linear regression - same math from high school most traders learned, ignored, and forgot existed what quants actually figured out: asset prices don't move randomly, they drift and revert with measurable slope regression separates signal from noise. slope tracks trend, residuals measure the deviation when deviation gets large enough, that's the trade - prices tend to snap back to the line quants call it "mean reversion." retail calls it "a dip" actual workflow: > pull 5 years of daily returns > run OLS, extract beta and residuals > z-score the residuals > entries at -2 standard deviations, exits at 0 retail draws trend lines by hand and calls it analysis Bookmark this ^ data is public, math is free, approach has been in papers since the 1980s 99% of traders have never built one signal this way it was never an information gap - always been a methodology gap, and that's the kind that compounds

Livsun

28,936 次观看 • 5 个月前

PUTTING IQ TEST 🤓 Two 10 footers, one is down the slope, one is up the slope. If both of these putts are hit at the exact same time, which putt is going to get to the hole first?
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PUTTING IQ TEST 🤓 Two 10 footers, one is down the slope, one is up the slope. If both of these putts are hit at the exact same time, which putt is going to get to the hole first?

Brad Faxon

797,633 次观看 • 3 年前

He built a trading bot on Polymarket with Claude Result: +$201,827 in 1.5 months His bot trades the microstructure of short-term crypto Up/Down markets using a strategy with 5 core elements: 1. Calculates a fair value for Up and Down, then buys the undervalued outcome 2. To do this, it analyzes the current deviation from the starting price, the order book, short-term momentum, current volatility, and movement speed 3. If the underlying asset starts moving in the opposite direction, it buys the second side 4. Buying the second outcome works either as a hedge or as a way to build a paired position below $1 5. It leaves the unhedged remainder as a directional position if its model sees that outcome as more likely His Polymarket username: mo-money Using this strategy, he captures a consistent edge and keeps growing his capital That’s how he turned $19.7k into $201.8k in 1.5 months of trading His best trades: $151.64 -> $1,322.07 (+771.83%) $225.00 -> $1,749.64 (+677.63%) $222.00 -> $1,376.68 (+520.12%)
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He built a trading bot on Polymarket with Claude Result: +$201,827 in 1.5 months His bot trades the microstructure of short-term crypto Up/Down markets using a strategy with 5 core elements: 1. Calculates a fair value for Up and Down, then buys the undervalued outcome 2. To do this, it analyzes the current deviation from the starting price, the order book, short-term momentum, current volatility, and movement speed 3. If the underlying asset starts moving in the opposite direction, it buys the second side 4. Buying the second outcome works either as a hedge or as a way to build a paired position below $1 5. It leaves the unhedged remainder as a directional position if its model sees that outcome as more likely His Polymarket username: mo-money Using this strategy, he captures a consistent edge and keeps growing his capital That’s how he turned $19.7k into $201.8k in 1.5 months of trading His best trades: $151.64 -> $1,322.07 (+771.83%) $225.00 -> $1,749.64 (+677.63%) $222.00 -> $1,376.68 (+520.12%)

VALIX

19,500 次观看 • 3 个月前