Short Trade on QTUM

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Short Trade on QTUM 22 Sep 2025 at 07:00:10

Take profit at 2.169 (0.73 %) and Stop Loss at 2.193 (0.37 %)

Short Trade on QTUM

The 22 Sep 2025 at 07:00:10

With 1000.8735 QTUM at 2.185$ per unit.

Position size of 2186.9086 $

Take profit at 2.169 (0.73 %) and Stop Loss at 2.193 (0.37 %)

That's a 2 RR Trade

Results

Status:

win

Trade Type:

sell

ML Trade Score: 100

ML Pullback Score: 8.2

Prediction Score: 5

Prediction 1	Probability
Strong Trade	0.5

Prediction 2	Probability
0	0.52

Prediction 3	Probability
1	0.5

BTC Market Regime	Coin Market Regime
ml_regime : bear rules_regime : bear_low rules_regime_5m : bear_low	1H_regime : bear_high 15m_regime : bear_medium 5m_regime : range_low

BTC Market Regime

Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation	Score
5m : 0.842376 15m : 0.074624 1H : -0.020424	3

BTC Correlation

Score

5m : 0.842376

15m : 0.074624

1H : -0.020424

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.02
atr: 0.005328678614

Details

score: 1.02
1H
ema9 : 2.20801
ema21 : 2.26194
ema50 : 2.32436
ema100 : 2.37287
price_ema9_diff : -0.0104233
ema9_ema21_diff : -0.0238419
ema21_ema50_diff : -0.0268562
price_ema100_diff : -0.0791748
all_emas_in_trend : True
all_emas_and_price_in_trend : True
ema_slope_9 : -0.531704
ema_slope_21 : -0.375626
ema_slope_50 : -0.223842
ema_slope_100 : -0.140013
rsi : 0.246593
adx : 0.680118
kc_percentage : -0.131036
kc_width_percentage : 0.0532787
volume_ema_diff : -0.0471591
volume_ema1 : 206162.98136609
volume_ema2 : 216366.65520683
chop : 6.14053
regime : bear_high
15m
ema9 : 2.17716
ema21 : 2.19077
ema50 : 2.23474
ema100 : 2.27843
price_ema9_diff : 0.00359844
ema9_ema21_diff : -0.00621432
ema21_ema50_diff : -0.0196712
price_ema100_diff : -0.0410096
all_emas_in_trend : True
all_emas_and_price_in_trend : False
ema_slope_9 : -0.0695786
ema_slope_21 : -0.136273
ema_slope_50 : -0.139457
ema_slope_100 : -0.103517
rsi : 0.411627
adx : 0.687703
kc_percentage : 0.412089
kc_width_percentage : 0.0218432
volume_ema_diff : -0.886259
volume_ema1 : 10630.407727786
volume_ema2 : 93461.983579972
chop : 70.284
regime : bear_medium
5m
ema9 : 2.17835
ema21 : 2.17459
ema50 : 2.18293
ema100 : 2.20392
price_ema9_diff : 0.00305004
ema9_ema21_diff : 0.00172722
ema21_ema50_diff : -0.00381728
price_ema100_diff : -0.0085891
all_emas_in_trend : False
all_emas_and_price_in_trend : False
ema_slope_9 : 0.0567473
ema_slope_21 : 0.0206443
ema_slope_50 : -0.0161229
ema_slope_100 : -0.0288591
rsi : 0.612432
adx : 0.261142
kc_percentage : 1.01891
kc_width_percentage : 0.00912949
volume_ema_diff : -0.866943
volume_ema1 : 2312.3064328488
volume_ema2 : 17378.426546012
chop : 39.6794
regime : range_low
btc_indicators
btc_indicators
5m_ema100:
```
113079
```
5m_price_ema100_diff:
```
-0.00308448
```
5m_price:
```
112730
```
5m_correlation_with_coin:
```
0.842376
```
btc_indicators
15m_ema100:
```
114219
```
15m_price_ema100_diff:
```
-0.0130333
```
15m_price:
```
112730
```
15m_correlation_with_coin:
```
0.074624
```
btc_indicators
1H_ema100:
```
115477
```
1H_price_ema100_diff:
```
-0.0237914
```
1H_price:
```
112730
```
1H_correlation_with_coin:
```
-0.020424
```

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
22 Sep 2025 07:00:10	22 Sep 2025 08:00:00	59 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.185	2.193	2.169	2	0.877

Details

Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

Entry 2.185
Stop Loss: 2.193
Take Profit: 2.169

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.193 - 2.185 = 0.008
Récompense (distance jusqu'au take profit):

E - TP = 2.185 - 2.169 = 0.016
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.016 / 0.008 = 2

📌 Position Size

Amount	Margin	Quantity	Leverage
2186.9086	100	1000.8735	21.87

Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

Account Size 100
Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

Risk Amount 8
Distance Stop Loss 0.008

Taille de position = 8 / 0.008 = 1000

Taille de position USD = 1000 x 2.185 = 2185

Donc, tu peux acheter 1000 avec un stoploss a 2.193

Avec un position size USD de 2185$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1000 x 0.008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1000 x 0.016 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

Taille de position 1000
Taille de position USD 2185
Perte potentielle 8
Gain potentiel 16
Risk-Reward Ratio 2

📌 Peformances

TP % Target	TP $ Target
0.73 %	16.01 $

SL % Target	SL $ Target
0.37 %	8.01 $

PNL	PNL %
16.01 $	0.73

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.2746 %	75.01 %	3

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 2.169
            [stop_loss] => 2.193
            [rr_ratio] => 2
            [closed_at] => 2025-09-22 08:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.165
            [stop_loss] => 2.193
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-22 08:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.161
            [stop_loss] => 2.193
            [rr_ratio] => 3
            [closed_at] => 2025-09-22 09:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.157
            [stop_loss] => 2.193
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-22 11:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.153
            [stop_loss] => 2.193
            [rr_ratio] => 4
            [closed_at] => 2025-09-22 11:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.149
            [stop_loss] => 2.193
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-22 12:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.145
            [stop_loss] => 2.193
            [rr_ratio] => 5
            [closed_at] => 2025-09-22 13:00:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.02
            [max_drawdown] => 0.0059999999999998
            [rr_ratio] => 3.33
            [high] => 2.19100000
            [low] => 2.16500000
            [mfe_pct] => 0.92
            [mae_pct] => 0.27
            [mfe_mae_ratio] => 3.33
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T07:00:10-04:00
            [end_at] => 2025-09-22T09:00:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.046
            [max_drawdown] => 0.0059999999999998
            [rr_ratio] => 7.67
            [high] => 2.19100000
            [low] => 2.13900000
            [mfe_pct] => 2.11
            [mae_pct] => 0.27
            [mfe_mae_ratio] => 7.67
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T07:00:10-04:00
            [end_at] => 2025-09-22T14:00:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.19900000
            [high_after] => 2.19100000
            [low_before] => 2.15600000
            [low_after] => 2.14300000
            [is_new_high] => 
            [is_new_low] => 1
        )

)