Short Trade on NEO 04 Sep 2025 at 06:39:09
Take profit at 6.4329 (0.51 %) and Stop Loss at 6.4825 (0.26 %)
Short Trade on NEO 04 Sep 2025 at 06:39:09
Take profit at 6.4329 (0.51 %) and Stop Loss at 6.4825 (0.26 %)
Position size of 3127.3355 $
Take profit at 6.4329 (0.51 %) and Stop Loss at 6.4825 (0.26 %)
That's a 2.01 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.63 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.47 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.78 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : range_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.559864 15m : 0.095191 1H : 0.095918 |
0 |
Indicators:
110857
0.000404803
110901
0.559864
111247
-0.00299789
110914
0.095191
110341
0.00508235
110901
0.095918
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 04 Sep 2025 06:39:09 |
04 Sep 2025 07:10:00 |
30 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 6.466 | 6.4825 | 6.4329 | 2.01 | 2.68 |
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:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 6.4825 - 6.466 = 0.0165
Récompense (distance jusqu'au take profit):
E - TP = 6.466 - 6.4329 = 0.0331
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0331 / 0.0165 = 2.0061
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 3127.3355 | 100 | 483.6585 | 31.27 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
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:
Taille de position = 8 / 0.0165 = 484.85
Taille de position USD = 484.85 x 6.466 = 3135.04
Donc, tu peux acheter 484.85 avec un stoploss a 6.4825
Avec un position size USD de 3135.04$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 484.85 x 0.0165 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 484.85 x 0.0331 = 16.05
Si Take Profit atteint, tu gagneras 16.05$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.51 % | 16.01 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.26 % | 7.98 $ |
| PNL | PNL % |
|---|---|
| -7.98 $ | -0.26 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.5722 % | 224.22 % | 5 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 6.4329
[entry_price] => 6.466
[stop_loss] => 6.48415
[rr_ratio] => 1.82
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-04 07:10:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 6.4329
[entry_price] => 6.466
[stop_loss] => 6.4858
[rr_ratio] => 1.67
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-04 07:10:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 6.4329
[entry_price] => 6.466
[stop_loss] => 6.48745
[rr_ratio] => 1.54
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-04 07:10:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 6.4329
[entry_price] => 6.466
[stop_loss] => 6.49075
[rr_ratio] => 1.34
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-04 07:10:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.028
[max_drawdown] => 0.073
[rr_ratio] => 0.38
[high] => 6.53900000
[low] => 6.43800000
[mfe_pct] => 0.43
[mae_pct] => 1.13
[mfe_mae_ratio] => 0.38
[candles_analyzed] => 24
[start_at] => 2025-09-04T06:39:09-04:00
[end_at] => 2025-09-04T08:39:09-04:00
)
[long_term] => Array
(
[max_gain] => 0.117
[max_drawdown] => 0.109
[rr_ratio] => 1.07
[high] => 6.57500000
[low] => 6.34900000
[mfe_pct] => 1.81
[mae_pct] => 1.69
[mfe_mae_ratio] => 1.07
[candles_analyzed] => 84
[start_at] => 2025-09-04T06:39:09-04:00
[end_at] => 2025-09-04T13:39:09-04:00
)
[breakout] => Array
(
[high_before] => 6.46800000
[high_after] => 6.57500000
[low_before] => 6.40100000
[low_after] => 6.34900000
[is_new_high] =>
[is_new_low] => 1
)
)